{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `Project`\n",
    "\n",
    "The `Project` class lets us handle groups of wells. It is really just a list of `Well` objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.5.2.dev5+g2dc4e88.d20220224'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import welly\n",
    "\n",
    "welly.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Make a project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from welly import Project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/24034.LAS\t    data/P-130.LAS\tdata/P-135_out.LAS\r\n",
      "data/P-129_out.LAS  data/P-130_out.LAS\tdata/P-135_time.LAS\r\n"
     ]
    }
   ],
   "source": [
    "!ls data/*.LAS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can pass in a list of files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "0it [00:00, ?it/s]Only engine='normal' can read wrapped files\n",
      "2it [00:01,  1.00it/s]\n"
     ]
    }
   ],
   "source": [
    "p = Project.from_las(['data/P-129_out.LAS', 'data/P-130_out.LAS'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or a POSIX-style path:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "1it [00:00,  2.05it/s]Only engine='normal' can read wrapped files\n",
      "2it [00:01,  1.08s/it]Only engine='normal' can read wrapped files\n",
      "3it [00:02,  1.11it/s]\n"
     ]
    }
   ],
   "source": [
    "p = Project.from_las(\"data/P-*_out.LAS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Typical, the UWIs are a disaster. Let's ignore this for now.\n",
    "\n",
    "The `Project` is really just a list-like thing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100/N14A/11E05\n",
      "Long = 63* 45'24.460  W\n",
      "-999.25\n"
     ]
    }
   ],
   "source": [
    "for w in p:\n",
    "    print(w.uwi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of the UWIs are pretty messed up."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot curves from several wells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "alias = {'Gamma': ['GR', 'GRC', 'NGT'], 'Caliper': ['HCAL', 'CALI']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9KaEKWA+cElD2P/QLbZVh22OBv0ErvqvZAes/Gb9VOfo46Fkh9jvU+F6r0Z/Ea18zQ9SXwMCA9S+A20LUbXAuoY8T7kZ3bp+iJ6SsLetr7FODPlY0u6nPXa/tKwz7Tg3YNtnY9lCkf+P2eqGPC+YZv9Em4Nx65Y8Z32el8XsE/j7p6E/IVeg3xA9R91pwG/rQBui9HxL9pjnwXDjXKD8b3WFWGf+7VzCuU9Hy6nADInAy3E3Di+LdRtlsYKPxB/qeuk9PNvRpAOXGxefGgLJlwMSA9cNoeBG92TjWRQHb6tshQ9h8EcaTA/odmgcYFaTeXPS72r8Df65X9lKQ44Vli/Fd1D+plweUN/a9hXUh7UwvdKf2ckfboV7qpV5t/1L51OphhLiuBHJlJ/lyhBDrgdOlHsmnaAJj+oEVfQ7UJPSbg0ulPvVDoVDEMHGf+ToIacBNncihWYFXlENrFinoYeQ90J/C/4GuyKBQKGIc9aSmUCgUipghesI0FQqFQqFoAuXUFApFhyOE6CV08ez1Qoh1wlD2F7oA+DwhxG/Ge4axXQghnhC6Mv0aIcT4jv0Eis5Cp+5+zMrKkn379m32frtLa5ASNAGaEAgBUoLb6yMn1Y7NHDlf7vXqKlomU/QJ1ben7cuXLy+UUoajxt5sAs+TSH2mCoeHvKIqBmQnk2iN3PfTmc+XjrTN7XbjdrvZsGFDIfrE4uXo8zsvAoqllA8bOpwZUsq/CiGOQxdfPg59btW/pZRB0+nU0tLrSSgKKpzsL3cELRvSNQVrE9eZznwutAWR/LyNXU86daBI3759WbZsWVh1N+2r4Jh/6Qo5weTtQf+wFcCah45Dn1TfesrLywFITa0vwtH5aU/bhRA7mq7VMgLPk0h9pu82FnDxS0t54+pDGNsrvbUm+unM50tnsE0IsUNKWSH0PGm56OlUDjOKX0afYvJXY/srRkDXYiFEuhCiu5QyWHoeAHr16sX8+fMjYudfP9rIF+sP0D1E+VFju2Eza9jMGiO6J3P0sIbX387wfbcnkfy8aWlpIa8nndqpNYcad/jZTx7+ciO3Hjus6YoKhaLdEXp6p3HoAgVdAxzVPnRpJ9AdXqCmZ76xrY5TE0Jcjq6SQ69ejaqlNYvLD+nFF+sPhCx/f9W+OusfZiUyIDspYsdXhCZmnNrYXunkPXw8AFe/voLP14a8YePZH7axu6QGm9nEvvIaFm4pYlj3VC6b2Q+fBLtFY86IbphNashRoWhnNHTtwhuklOWBPSpSSimEaNZ4idRzxz0HMHHiRBmpp6Jxqamsu+cYRtz1VVj1T/nvCgA+vvoQxtR78o+XJ7Va2vrzxoxTC+TmOUP8Ti3FZsZsEkjA5fHhk5K+XZJYv6ecbYVV/n027C3nxndW12ln1uBsftx88G7sufMncPSIbu3yGRSKeMPtdoMu+nyPlPIDY/P+2m5FI/1SgbF9N3WFqnsa21p2bK+PfWUO9pU72F/uoNLhocrlpcrpocrpodL/7qXapa9vLahs0E7t+H0oMpOsLTVRESYx6dT6dEnyP7WFQkrJX99fwzvLQmZnqOPQAC5/dTk3zB7EDbMHR8RORefF5Q2WKkzRVkgpueSSSwAcUsrHA4o+QU/L9LDx/nHA9muEEG+hB4qUNTae1tSxB/3ti0brZCZZSbKZSLKaSbaZyUi0cuyo7nRLtdM11UZqgoWp/bvQNdXeEhMUESQmnVo4CCF49PQxPHr6GEA/sc/+72IWbytudL8vf93HOZN7k6NO3pjE65MMuO1ghp/fPbWQ3PQEhBFJGxhRm5Zg4T/njCc3PaEDLY4NFi5cyKuvvgqQIoRYZWy+Dd2ZvSOEuAQ9p94ZRtlc9MjHLegiwBe35vhnT+7Nm0t2hiwvrnLx+wn9ufU4NRbf2Ylbp1YfKWnSoQFs3FfBnH//xIo7jmoHqxSdgd2lNSHLDnl4Pl//aRZpCRYyEq1NhnErgjNjxgxdjFaI9VLKifWKj6xf34h6vDoSxxZC8NCpo7jtuKEcqHDy2Zq9bNxXTkG5ky0HKimt1tONPfvjNkbkpnHSmB5NtKjoSOLeqX23sYA1+WV0S7PxxNnjeHVRHkvzSkLWT7aZefWSye1ooaI9MWmC/100iYtfWopJE3h9TcclHP3PusmWF/z1cHpmJLaViYo2IsVuobDSxePzNoess253GTMGZqmxsU5M3Dk1KSU1bi8T7vumWdMAAD69Zgajeqa1kWWKzsLhQ3NCjsne+PYqPljZeDxCit3SFmYpIoyUklcX72DlzlKklPhk46nLQX9aW5pXzAd/PKRdbFQ0n7hwagXlDs54dhF5RdWN1vvmxllYTBoWk4bZJLDWW47UhG1F9PLQaaM4dlR3PF4fV72+ImidcJ7uFB3PL9uLufPjdWHV7Z5mp0d6AolWE7cfP7yNLVO0hph1au8vz+emd1c3XTGAgTkpbWSNIlawmU0cNbwrFQ53yDrj75vHbw8ci0XNc+zUTOmXyfMXTKSk2oUEqpweKhweKhxu493jnxq0t8zB3jJdEuuYf/1IVrKV3IxEfD7JkcNyuP7IQeqmt5MQs04tXIf2+qVTmNa/C5qmTkhF+Iy6++tGy9fklzKhT2Y7WaNoCUIIZg/v2midp4Bql4e9ZQ62FlTy7YYCvl6/j8JKF4WVLgDW7i5j074Knj5vQjtYrWiKmHVq7105jXs+Xc+swVnUuHxUONwsyStmR70uyHOf/4Wh3VKwmDT2ljkorHTWKX/s9NFYDQ03q1nD64PhPVJVGHccs6s4dDf28O6pPHzaKEb3TG8/gxRtit1s4pEvNvL1+v3+bQkWE5lJVhKsJrYUVHLsqFAqkIr2Jmad2sS+mXx67Yw626qcHi5/dRkLtxQBcMjALqQnWvF6JW6vj7W7yxq085f31oQ8xvd/PoxMFQQVs0gpcXslTo8Xl8eH0+Pzv4di/d5y1e0YZbg8Pi59ZVkDsYVg/O+iSYzMTSM7JZRsuqKjiVmnFowkm5nXL53aaB2PV79oOT0+luUV4/D48PkkO4qq+ec3dUN995U7yMxSkW6xym0fruXNJbuarhjA25dPZVj3+NLyi3YOVDrDcmigD2uk2s2kJlhItVtITTAb7xbSEiz+shqXlxPG9CDZFleX2E6B+sYNHG4vhZVOiipdlFS7uP/zDWwJou0WyM9bChmepbodYpVxvTIadWqPnj6aBIuJE0Z3V0ECUUxuegJbHzyOSqceJFJpBIxUOjxUOAMDR9yU13god7gpr3FTVuNmX7mD8ho35Q43DnfdJ/hbPljL1P6ZSAldU+3cc9IIMtT8tjYnrp1aQbmDyQ9+2+L9v9lQwE+bC7j7+EGMiTOl7XjgjEm9OGNSL0qrXYy9d16DcpfHxzHDu1Hj9mIzmzCpYKOoxaQJ0oynrZbyzfr9vLwoj2V5Jf45sIEqRf2ykvjTUUo3tq2JG6e2p7SGCoeHapeHKqeXSqeHncVVTe/YCOv36knv3lq2hzH9lHp/rJKeaCUnxUZBRd0gots/+pXbP/rVv55iM+OTEgk8dc54Dh+a086WKjoKh9vLpa+ETmg8tlc6p0/oSVm1m0SbSY27tiFx4dR+2VbEmc8tbvZ+XVNtTOnXhewUG9MHdMFmNmGzaJg1gSYEJk1QXV3FQJX8L+b5/i+HcfuHvzaqJlLh9PiXn/5hq3JqcYTdYuLjqw9h3Z5yNAFFVS4e+2qTv3zVrlJmPvqdf91q0ki0aiRaTditZrYd0G+wP7t2BiNzlWpRa4hZpyalxOXVo9V6pCdwxNAc5m8saHrHAPaXO/lk9R4ABuYkc/bk3g3qlJerLqd4oKjSxRe/7muy3pieabx26RSSrDH711KEYEyv9DoJQM+b2od1u8twen2U17hZ8FshWw5UsrOomqIqF64aH6U1HuBgD8BF/1vCstuVWHpriMl/3qZ9FRzzrx+brhgm/bOSOHJoTq2KeMTaVUQPK3aWhKUVOqFPptJ+VAB6aqLpA7OodnkYfmd4GbLvOWlkG1sV+8Rkx27PjASm9IucmsO2wiomP/gt/W6dy1WvLY9Yu4roYVyvjLDqvbhwO9sONB41q4gvzJrGzEFZYdW9+o0VVLs8TVdUhCQmn9SSbGbevmJao3UKyh3sKqnBJyXVRtr22tDdHzYf4KffCoPu90OY81kUsUOFw82sx75ruqKBmpukCMRq1nj1kik43F6G3vFlo3V7ZyaSqLquW0XMf3u7iqv9A7T9s5LYVti6iMcLpvWNgFWKaCK/JHSS0EAePW00Z0zq1cbWKKIVu8XEdUcO4olvf6uzff29xyhHFkFi4puUUrKnzMGlLy9jR1EVF0zrixD6PKIXFmz31wvl0K48dACHDNSjG+0WTY9yNGvYLBp2s4kkm1llNI5jwlUIufn9Ndz8fl1ZtafPHa90AeOU5TtKeHVRHiZNI8VupqTaxcer9tSpMyhbPZlFmqj+Nr9YuzdoTqtnftja5L42s8YVs/rjlRKvT1cV6J+d3BZmKqIcKVueH63K1bxEtIro5/M1e7nj418prnLV2d47M5HsFBsHKpw8dOoojh+a3jEGxjhR7dQG5LTcCTk9Pp6Yv8W//swPW/2SNhI90WO3VDsPnTaKVBXNFtcIIdh43xz2ljkornLxr282hxxzrSU3PYGFtxzRThYqOhNXv9HwRvuvc4bSLyuJFLuZZJuZZLuZA5UOkqwmUlRUdUSJaqc2uGsKeQ8fj8frw+OT+KTE69PTste4vEx9qHkSWIGSNrUcNbwrvxuXGymTFVGK3WKiX1YS/bKSuOrQAazJL6OsJnSi0N2l4Y3DKWKPZbfPZsPecvKKqrnvs/W4PD4e+XJjo/vcd/IIzlfj9REhqp1aLWaThtlUd1uqvXkfzawJzCaBWdMwaQKrWeNAhZMb3l7FDW+v4rojBmIxaZhNGhaTwOH2sia/DCG93HP8YJTyY2xS4/Ly7vJdrM0vw2zSVWSSbRb+cEg/atzeRru6+97yOavvOrpVeoKK6CMr2cbMQdmc/8LnYe+jEspGjphwasEQQvDmZVP5cGU+3VLt/q7Gw4Zk4/VJ/6vS6WHdnnI8PonHJ4HgubICuyrrc+zwbH6XFd48JkV08eNvB7jz43Ut3l/1KsUvD5wykgc/3xByXNUkYOWtM0lVYugRJWadGsC0AV2YNqALPp/kkIFZOIzkji5/skcvLy/aEVZbfbskMjAnGRCkJ1rISrZhMQn6pls4Ykh4EysV0UfPjAROGN2dz9bsbdH+ajw2fjl3Sh92FdeEfJr3Shj94E8A3HvyCDVdKELEtFOr5dkftzXZp90Yhw7O5unzxgcNvS0vL2+NaYpOzK+7yzjhPwtavP+T54yLoDWKaOTPRw9m+oAuaEJQ4/ayu6Sa/JIa3luRT2n1wTHZOz9ex7lT+qj0RREgLpza2ZN7sX5vOcVVTtweyd7yGnYVNz2Q/7+LJiml9ThmRI9Urj9yEP+uN1m2MdbcfbR6OlP42Vvm4IIXlzRZ77ypvVH+LDLEhVNLT7Tyn7P1u2aXx8fg279ocp/7Th6hHFqc4XB7Kal24fVJ3F6J2+vjqOFdOXxoDm6vD7fHxxe/7uPVxaG7rG98ezXPXzixHa1WdDZufm817yzLb7TOqNw0Hj15MLnpdjWmFmHiwqkF8lojF6RA7vh4Hf/9aTsfXX0ImSoFe8xzoMLJpAe+afH+A3OSGZidzL0nj4igVYpoJNST+u3HD9NzMWqCMyb2wlXTOsk+RXCi2qk53F5mPDKfwkoXMwZm0T87SQ8C8fpweyUuj9d/x+3y6HPZlu8oCbv9ncXVFFU6lVOLA5pyaNceMZAp/bqQaDNhNWlYjKkdFpNGZpKVJCVirDC4/YThHD+6O6f83891tk/t36VOAlCXmsrYJkT1P/HM5xZTWKlL0SzYUsiCLY2rPNTHatKwWzTKHR4m9Mkg0WoiwaJrPSZYTQj0VCIer6Sk2kVJtZsal5dxvdO588Th2OpPjlNELWdN6sVbS3eFLP/P/C38B31axzPnjWflzlKmDujC4UNUF7WiLl/+upcrX6urKjJzUJbKaN1ORLVTe+B3I/3RaRP7ZOD2SaqcHmpcXqTUlUVKa1w43MHnnrm8+lMd0KwnuPV7y7loel8GdU1p/YdQdDger4/UZkyQrr1gPfvjtjrbv7xhJkO7qfGReKaw0tnAoQH89FshTo9X3Qi3A1Ht1EbmppH38PGN1glMPRMp7v/dSOXQYoSPVu7mhrdXRaQti0llcoh3spJtnDIulw9X7m5Q9uPmQo4a3rUDrIovotqphUOvzES/4zvq8R/4raD1WYn3lTla3YaiczAyN5Vkm5lKpweTpstg1arNhGJinwzOmtybeev38e+zxmG3qLtvBXy4Mp8/vb26zraTxvSgd2YiuRkJzB6muqrbg5h3aoG0xKFZDD1IsyZ447KpjOqp+sVjiYE5Kfx6zzENtn+zfj+XvrIs6D7LdpSwzOiurp/J+JnzxjNnpMqfFo/sKW14s/vJ6j387bhhnD25dwdYFJ/ElVPb/tBx3PTuaj5Y0bBrIBR69KSu3Xbik/r4nZK0iX1mD+9ap2t71a5SfvfUwib3W5ZXopxanHL14QO56tAB7Cyu5rC/f+/f/sDcDTwwdwMAJ47p4Z8zq2gb4sqpCSF4/IyxzXJqwbjz43WM7ZXO6J7pkTFM0Wm55f01jUZF9s5M5LKZ/chOsdE11U5GopWCcgcJVhMpSlkkbnC4vcx89DsOVDgbrdc9zd5OFsUvceHUFm4p5Nznf/GvJ1hM1Lhbl5H4k1V7lFOLQZweL8t3lGASAiFEow4N9LmMd4RQ8X/mvAnMGdmtLcxUdDKkJKhDm9a/C/8+ayw5qcqZtRcx79TKqt11HBrQwKEJAUcO7YrdomG3mJAS3l9xUObmn2eOYVRuOgnGPDa7RSNBBQfEHN9tLODil5a2up1Uu5l+WUlM6qvSEcULCVYTE/pkNJgatGhbkYqKbWdi3qld/mrwwf5ApIRvNuxvsP34Ud156tzxbWGWohOyJr+s1W38dPPh9MpMjIA1imjj/aums/VAJRv3VnD1Gwfnql380lI+uvqQDrQsvoh5p/b4mWN56rstvPHLzmbvu2FvOQ99sQG72cTGfeVkp9i49dhhShIpRrl+9iCunz0IACklry3eEbJrEfSbniSbrkCTZDUzumeacmhxzMerdnP9W6sabL/m8IHtb0wcE/NX59z0BB48ZRQPnjIKKSUVTg+Pf72Z7zcVkFdUDcDQbimU1bjZW2/+2bbCKp79oa5qxGuLdzY54VsR/QghOHNSbwoqnLy1dFfQ8ZLP1wZPHLr5/mOxmlWXU7wxfUAWc0Z0o6TaxbbCKv85k5Vi62DL4ouodmpbCiqZt34/OSk2JPpY2Ve/7vNrQJo1weCuKTg9XpweHw63z7/s8hyUztq4ryLsY751+dRIfwxFJ6Pa5WHlzlK8PsmHK3c3GdFWn8YmbitiE4fby7K8YhZtK6Ksxl2nbHDX5A6yKj6Jaqc2+/EfGi33+CQ90u3YzCZsZg2bpfZdw2bWAz78ZUa5JvDn0zJpcMLoHmqgN04orHQy8f7w08/84/djOHV8LkKo7I7xzmuLd3D/5xv8611TbUzok8FlM/uTaI3qy2zUEbXfdmFl3bvnT645hG5pdiM60aQckaLZ/CHMyMdBOcn0SE/g7WW7uOldXRZpdM80HjxllFJij0Pmrd9fx6EB7C93MnftPuau3cfSv80mW3VBthtR69S61Mtx9uT8Lewrd5BsMxtOTWA2aUbuK4FAcNmsfgzMUULECh2318eN76zm09V7sJgEbm943Ya/FVQ2kFxbk1/GxS8tZenfZreFqYpOzKpdoTN8DO2WohxaOxO1Tk0IwZPnjOOaN1YyKjeNr9c3DMmvz9vLdjG2V7ouXCsEmgZmTUPTBGZN4HB7+XlrUcj9TxrTgxuPGkzfrKRIfhRFB1Ht9PLp6j0AYTu0+pwxsSdHDO2Kx+djWv8ukTRPESX85Zih/OWYoRRXuRh/37w6ZRv3VXD0P3/gi+tnYdJUN3V7ELVODfTxrhNG9wCgqNLJ1W+sYG+ZA4fbi8PtazBgO7pnGil2Mz6pq7D7fFDt8bCtsAopaVC/Pp+s3sMnxkXwi+tnMqy7yp0VzaQlWtj+0HGU1bjrZEyvzZTu9vpYllfi1+0LxjvL8nln2cGJ+qeOz+XxM8a2g/WKzkZmkpUN985h5qPf1Rkecbh9SCkB5dTag6h2aoF0Sbbx1uXTwq7f2jxaT323hSfPUROzox0hBOmJ1pDl43pncNms/v71XcXVnPb0zxQ0MyJSER9s2l9Rx6HlpieQmWTloS82kpVs49ypvUlVmqBtSsw4teZS7mj8qawpPluzl/TEtdx8RJ8IWaSIBhpLOPvNjbPUmG2cUlrt4sIXl7C6nirN7tIadpfWsGpXKQCb91fwzzPHtr+BcURcOLVadYh5GwrwBHQtZSZZKa5ytbjdQwZkRdBKRWemoMLBOf/9JWS5mpAf32wvrGrg0Go5fUJPUu0WLGbBWZNUXrW2Ji6cWlmNu1G5o+Zy9uTePHTqKADKy8sj1q6ic7BuTxnHP7EgrLqfXHOIytagYFzvDLY8cCzF1S4OVDjrnD/vLdfHXO88YThr8kvZWlBJks2MDRf9uihZtUgTF04tPdHKD385jG0HqrCaNbYUVPLTbweocXupdHoxa4LuaXZqXF7KHW7Katxs3h86S3ZuukojEWsUVTq54+NfWfBbIeUOT8h6PTMSuGh6Xy6d2T9kHUV8YjZp5KTYyUmxs/2h43h76S5u+WCtv/zez9Y32OeooVn896Ip7WlmzBMXTg2gT5ck+nTRQ/Hrp6JpDg+eMorsFBs/bj5AaoIFzeOgT2ZCpMxUdBAvLtzO3LX7QpbfdNRgrj1yUDtapIhmhBA89tWmOttyUmx4AiTUMhLMHDFYTQOJNHHj1AJ5/6ppnPb0ohbte9uHaxtsu2POQC45TClJRDNPfbc16PaMRAt2i4nXf9nJP+ZtDlrn/84dz7Ejuym5LEUdHj5tNJe9cjD1VWDE7NBuKbx18Rg0dc5EnLh0aqN7pnPR9L4s2V6MT0pKql3sLw8vRLt/VhLpiRaEEDg9XlKtGrOHqoCRaOdvxw3j9V92kFdUzSUz+pFgMVFQ4TDmoDUeKfvH11dw4bQ+3HPyyPYxVtFpOVDh5KQnFzTI+FGfapcXnwQ1HzvyxKVT27y/gpd+zmvRvtsKq7hoel/uOnE4QggVKBIjXDarf535aKBr+gVOrG6Mo0d0awuzFFHG4/M2N3Bo/bOSmDOyG+N6ZzCkawo9MxLQNHXtaCvi0qmN6JHGTzcf7lcQ8fokHp+PTfsqg3Yv1ueln/Nwenz+CEhFbHLU8K78+JfDqXC6qXZ5qXC4qXB4WLS1iLeW7qpTt3acVmW+jm+CPXltK6zi/74/2L09tlc6x43qxpljslSXdRsQl04NwG4xNTqRtilOn5AbQWsUnZXe9UKu//vjtgYOLZDXFu/g1uOGtbVZik7KA6eM4k9HDSa/pIbyGjc7i6u5/aNf69RZtauUVbtKOaz/ZLqlKrHjSBO3Ts1maV1qmp4Z6m48XnB6vBz/xAK2FISe5gFwxwnDuXh63/YxStFpyUq2sXJnaZ0gkVr+cswQRuWm0adLIhkWbwdYF/vErVP7eUtoNf5QXDitDxKY3C+Trqlqrlq84PXJJh0awCUz+rWDNYpooLgqeOBZbZj/2ZN7cevsvu1oUfwQd05NSonHJzlkYBeuOLQ/q3eVsnhbcaP7/PbAsSrpaByTaDXz+wk9eXd540EjH6zIZ3zvDJWaKM5xery88cvORut0SVLdjm1F3Di1vrd83uJ9f9lWzIxBKmw/npnYN6NJp3bjO3oW7LV3H02KUmKPGyocbq5+YyVr80vx+mRIRZpXL5lM/+xkrEby4urqSqxmDSmlChiJIHHj1C6Y1odXFu1o0b73f76ez6+bqZL8xSEer49Hv9rERyt3k51i40AYKWee+3EbNx09pB2sU3QGft1dzo+bDzRZ7/wXlgTdLgR+R2cx174LLCaNBIuJRKsJu/GeYDGRYDUb7xqJVnO9MlOdfWrXk+3muEl5E/NObUdRFYc+9n2jdfpnJSHRuybdXonT46Ww8qB6/8Z9FWzYW87IXKUaEk/MXbuXr9ft46NVe5q133/mb1FOLY6YNqALq+48ikqnhyqnl2qXp06yWT357MHsIC6vxOXxUVFVjdsr0cwWXAHlbo/0rzvcXmM6iYeCcic1xrrD7aXSGVqjNBhLbjuSnDiIBYh5p7a7pKbJOtsKqxotf/OyqcqhxTgLtxS2ShM0kBtmK43IeCM90dpostlg1E6+Tk1NDat+cZWLiffPI0A+MizsFo2zJvWmS3J8jOPFvFObPjCrTq4rKSUXv7SU7zc13V1Qy9n/XQzAvD/NYlBXlQQyFvE240rxh0P60TMjAavRVWQ1a5RWu9A0gdWk4ZWSkioXGUnNu8gpFI3h8via5dD+NHsw1x05MO7G62LeqdVHCNEshxbI67/s5O6TRkTYIkVnYNbg7AaJPqWU3PPp+gaSai8u3N5ke99uKODFiyZF0kRFnNMtzV7nHH3+p23c//mGkPX/+c1m+mYlkppgwaJpmE0Ci0lg0jTMmj5mZzYJf1ntsqYJzJrApAk0oS9rURRPEFdOrazGzZh7vm7x/i/9nMf1Rw5Sd+BxQHGVi8e+2ojT7eOkMT3w+iSfr90b9v7zNxZQUO6IizEMRcdQEEbQ0vVvrWp7Q9qQfllJfHrtDJJt4buquHJqiVYTMwZmsWBLYYvbOPf5X3jjsinN7j9XRBdPfbeFN5eElsNqitE901RYv6JNue24YdxmSLJVONzsKXXwzrJdvLCg6Z6EaGF7YRXVTo9yaqGwmDReu3QKby/dyV/fb1q4OBjr95Yz9t55jOmVzodXTY+whYrOwl/nDGVUbhpen+Smd1eHvd/0AV148aJJ2C2mNrROodBZtLXIP+bfFJfO6Ee/7CTsZhNmk961qHcx6sMyJiHQNNCEOPgKWDdpAfWEQAj8XZSaAM1YNhllmlZbV9+vuqoSTUBaWqp/H7PRFRrJ7s24cGpVTg/nPv8Lq3aVRqzNzfsqaGYQkiKKsJo1fjdOF61uyqlpArY9dHyjdRSKtmBbYdPybbVsLqjk9hOGt6E1jVMu9e7Stp4vFxdOrajS1WyH1j87iUtn9Mdu0Ui0mpASDhuSQ4JV3YHHG/WjZ/vdOrdOuU/CSU8u4LKZ/bGaNWxGVCRgzH8EiURKqKquZkKvVMIL4lYoGue7jeEHvf24+UAdZaWJfTJ45ZLJJFpjyw3E1qcJws9bCznnv82ff7TtQJU/t9pxo7rxrzPHYTUr/cd4ptLp4Y+vrwhatia/jGvfXBlWOzMHZPDqZarrWtF6njh7rD+a2+H2UuXyUu30UOXy8sS3vzW677IdJWzYW86EPpntYWq7EfNObUSPNCb3zWRJXuOixY0xd+0+rphVzphe6ZEzTBF1bDtQ2aQcktWsMaF3BhKJQB9bqJ0mJBB4vR7+fGT/RttQKMIl0WrmuFHd62xbtauU3z21MOQ+39x4KMk2M6kJ5ph7SoM4cGppCRbeuXJanW1nPLuIJdubdnJvXT6VtAQLWck2spJVtGO8M7pnOgv+ejgzHgmdXPbdK6Y1evNTqyKhULQFoeau9UizM7pnOv2zk/hq3T6/PmSC1YTNbKLC4WZQ1xTGxsCNe8w7tWD8+eghnP/CLzg9vkbrnfVcw6iib286lAHZyW1lmqKT0zMjkbyHj0dKicPto8rlodrp5cWF23np5zyG91CjZYr2p6zGzdWvrwg5XWlPmYM9ZfuabGfN3UdHvfBxXDq1yf0y2XT/sZzxzKJmdUuOyk1TyUEVgB6inGDc6ZKMepJXdCi/7i4Le/7tzEFZ+KTE65P4JJiEICfVxgmje0S9Q4MYdmo+n8Tt8+H16cr7Hq8Pj09Xzq7ddueJw1myvZh7P1vfZHv1JZQUCoWis3DIwCxW33V0WIpJP/120Pl9ecNMhnaLrd6FmHVq/W+b23SlMPni+pkRa0uhUCjagrQEC6vuPIqtB6pwuL1hZZ348td9yqlFC7ccO5SHv9gYkbaO/fdPQGz0NysUitglPdHKhD5WtgdJp9U/K4mrDhtA97QEuqXZyEyykZEYe9ezmHVqVx46gCsPHRC0rNzhZvTdzRM2zk1PwKKpeWoKhaLz0y8ribcun8rzP23jmw0FgJ438i/vralTr2dGAgv+ekRHmNhmxKxTawzZAn2r/tlJSk1EoVB0KFJKfvqtkHKHG69PUun0UFrtprTaRUm999JqN6U17kbbG9c7o50sbz9ixqnd8NZKPlq1p83aDxxcVSgUio7gtV92csdHv4ZV94ihOQzrnkJGopWBOclM6JNBss0c80lDY8apLc0rabO2+2cnUVLl4ub3VnPtEYPITrEpFXaFQtHunDIulw17yympcmHSDibwdHsl1U4PG/dVsLu0BtBz+lU6PZgMJ5aWYCEj0UrvzMSoSvrZXGLGqS28JXi/sNcI43d5fbg8PtxeH26PxOX18Y+vN/HFr01PSNx2QB90fWdZPu8sywfgjUunMH1gVuQ+gEKhUDRBss3Mg6eMarROpdPDvZ+uo9rlZX+5g0Xbi1m0rahOnTMm9uSqwwbSLyupLc3tEGLGqYXCpAlMminok9U9J4+g0umhuMqF2+tj8/7gaRzSEy2UVh/sm06ymhjUNaXNbFYoFIqWkmwzc+0RgyipdlHj8rKjuJqb6wWIvLMsnw9X7mbTfcfG3FNbzDu1xnh98c4mx8r+d/EkDh+S004WxR67du3iggsuABghhFgHPCel/LcQ4m7gMqBWIfg2KeVcACHErcAlgBe4Tkr5VftbrlBEBx6vj+d+2sbukhrMmmD5zhJ+3R1aY/TwIdmYNI0zJ/WKOYcGce7Urj58IP9uJD3DBdP6KIfWSsxmM//4xz+YMGHCOuBwYLkQYp5R/E8p5d8D6wshhgNnASOAHsA3QojBUkpvuxquUEQJn6zew6Nfbmqy3rPnT+CYEd3awaKOJW4nXs1bv5/Bt3/RaJ2Zg7LbyZrYpXv37owfPx4AKWUFsAHIbWSXk4G3pJROKeV2YAswuc0NVSiikAqHm6HdUjlrUi8m9W08PP+NX3a2k1UdS8w9qbk8PmpcXl093eWl2nh/6rstzQrLv/vE4Rw1vGsbWhp/CCH6AuOAX4BDgGuEEBcAy4CbpJQl6A4vMD1CPo07Qbxerz+lS0eldnE4nf7jW0yh7xU7c+qZzmxbvFLucHP3x+vYUVyNADQhQEB5jZvdJTVUOD0h9/3z0YMZ0i2VVLuZLslW+naJvaCQYES9Uzvk4fn+ENbWcPOcIVhNGmZNYDZpWEyC95fno2mwq7iGqf27MKZXGjazCuVvIRrwPnCDlLJcCPE0cB8gjfd/AH8ItzEhxOXA5QC9evWKvLVNUOX08ODXWymsdJFmN/PlBv2GacIjB5Mzzv3jJHqmq6wOipYzd81ePli5O2T5iB6pXHHoAHJSbGQkWslItJCaYInrKUdR79Qm9MlotlPThJ6h2OOVeHy6vEg4fdJjeqbx8TUzWmRnPON2uwEGAPdIKT8AkFLury0XQvwX+MxY3Q0EeqmexrY6SCmfA54DmDhxokxNrSvKWn+9tWw7UMnJTy5s9M64PqUujeEh7Ii0fZGkM9sWb5wxsRfDe6RSWu2mrMbNtW+urFO+bk85ry3ewaZ9FYzumcYLF07Cao7bUSUgBpzaE2eP44mzx7V4/9JqF8f860f2lzubrLs6v6zFx4lXpJRccsklAA4p5eO124UQ3aWUe43VU4BamYRPgDeEEI+jB4oMApa0o8lBWbStqEmHdsuxQ0PqjSoax+FwMGvWLIDhRpTse1LKu4QQ/YC3gC7AcuB8KaVLCGEDXgEmAEXAmVLKvI6xvu3QNMHonun+9ZmDsli5q5TtB6rYX+5gb5mDT1brSko//VbI4Nu/YPVdR5OWEHtCxeES9U6tNby4YHtYudQCKat2kxaDytZtxcKFC3n11VcBUoQQq4zNtwFnCyHGonc/5gFXAEgp1wkh3gHWAx7g6s4Q+XjulD6cPak3To8Pp8fLjqJqTn5qYZ06D3+xkeNHdadXZmIHWRm92Gw25s+fT0pKynpgGrBACPEFcCN6lOxbQohn0Kd6PG28l0gpBwohzgIeAc7sKPvbi/REK4cPyeHwIfr6/vKDTq2WS19eymuXTonboZK4dGrSyPo6oU/zxTzv/nQd/zxzbOSNilFmzJiBlBIhxHop5cSAopAJ76SUDwAPtL11jeNwe7np3dUs3FKI1yvD6nqMxXk/7YEQguTk5NpVi/GSwBHAOcb2l4G70Z3aycYywHvAk0IIIWVoufLAgKLOQCRsSQDmXTuZt5bt4YVFutrR0rwStu4upGdGQqvbjyTt9d1HpVO75o0VfLZmb51tI3qkYjI00AKzXLu9Pjxefdnjk/qyz9cipX6AAdnxEUEUr9z83mq/FFpjHD4km+kDsnD7fCzaWsSdJwxXKjOtxOv1AgwHCoCngK1AqZSy9m4iMBI2F9gFIKX0CCHK0Lso64Q4d3RAUVvx+tLdPDJvW9CyGw7v2+kcWnsSlU6tvkMDfcB0TK90ctPtWExGBKMmsJg0zCbjPSCy0axpWMwCi6aRZDOTZNOltBIsge8adouJRKuJtAQL5kZCtRXRzx0f/RqWQwO46eghjMxNA+CPhw1sS7PiBpPJBHq382zgQ2Boa9tsKqCoM9ASm37O2xCyLDHBzgGnRnaKrVMmNW7r3yDqnNpna0KnlzliSA7Xzx7UjtYoYolXF+8Iuv34Ud0ZkJ1ERpKVNCNcen+5gyqnh4E5yXRJtrWzpbGNlLJUCPEd+thauhDCbDytBUbC1kbJ5gshzEAaesBIXPDKHyZT7vBQWOlkR1EVf3hpmb/swbkbeXDuxjr1l98+O27O06hzate8sTJk2XM/buXFhdv96RhMQhiCxvpLE2DWNL1MA5MQAd2U8qCKf+26sRzYVZn38PHt8CkVHcH9vxvJ7UFyVX2+tmHPQCDqnGg9Bw4cwGLRnyqEEAnAUejBH98Bp6NHQF4IfGzs8omxvsgon9/YeFqsIYQgLcHChyvyufvTpoPdTHE01ht1Tu3nW45g/Z5yvFLicHspq3FTWu2mwuHG45P4fBKvEQiiv8Dr8+GV4PNJPD4fXh9s3FdOfknrJ20rYofzpvbhvKl98PkkTo+PCqebC15YwsZ9FUHrj+mZxnlT+7SzlbHJ3r17ufDCC0EfU1sKvCOl/EwIsR54SwhxP7ASeMHY5QXgVSHEFqAYXS807pgxKIskq4kqV+gA4dcumUJ6orUdrepYos6p9UhPoEd68EHQB+du4LmFwQdPm4sm4JrDB2IxaZhMejK+3pmJtZF8ETmGouMpq3Fzwn9+Yldx825wThvfk35Ziewvd/DUd1v82wNPDZMQnD+tD4nWqPubtTujR49m5cqVDaJkpZTbCKL9KaV0AL9vTxs7IwNzUlh37xwen7eZJ+qJsx8zoiu9MxPZUVzFvuUObGZNfxkxA+mJetLQ9ERLo9Ju0UZM/dt2R/DJyyfhiflbGmx/9PTRnDExdqKo4h2n29tshwbw/orwAkp+2V7MixdNanb7CkVz6B8k2edX6/YHqdk4QoCUMGtwNk+fO54kW/S5iOizuBGeOnc8Nx2o5Ih//NCgLMVmptLlaXEoP8CF0/pw0pgerbBQ0dnISbU3GBMrd7g59f9+ZktB8KSxzWH+xoJWt6FQ1Mfnk1S6PJQZ8lldU+08f8FEv5B7pcNDSbWLkmoXxVUuSqrcFFe7KKp0UhKQ8Lg+tdfHHzcfYNuBKkb1TGunTxQ5Ysap+XySd5bt4pYP1gYtP31iT1JsZiN830xZjZtBOckM656KzaxhrX2ZNEyaUF2McUyq3cI3Nx5aZ5vPJ/l5axHnvfBLs9sbcNtcTEKgabrKukmAyaRhEoKiKlfQff57wUSVJUIRlGF3fEmNOzyRHatZI8lqItGqT1vqm5XEuEQr6QkWUuxmku1mUuwWkm1mkm1mspJtdE+30z3NHrXd5tFpdT3eW57Pn99dHbRsRI9UEiwm1u0pRxP6RUUTAiFgaV6xsa5HE2kCv0P7PMhcuECm9s/klT9MaYuPo+iEaJpgxqAs3rh0CnvKHEgpkejqNHrUrMRXG6AkjYAlI0jpiflb8CL1PN5+Gr8o/f2rTcqpKYLSPd3OtgNVYdUdnZvG/y6eREonnK/WVsSEU6uv8tE7M5GuqTYSrGa/JJZPSnxSv8jo7xJpbKst21/uoDjEnXN9Fm8rxuHpcElCRTszfWBWs/cJNjYbyKnjcumblYTT46Wk2k2Fw8PdJw5vqYmKGGf+TYcB+g1VjREBvrfMwfYDVRRVOevMUVu2o4R56/dz8tjcuAnrjwmnNq53RkTmCl335soG4qD1+e8FExmZm4rdbMJm1nCG5wMVcYSUkkVbi9heVBWWWvqQbilcodT9Fc1ECEGi1Uyi1Uz3tATG99a1bI8Y2pVr3ljhn4py4zurufGd1YzumcbDp45meI/Op6oSSWLCqUWKR04bzdy1e/051oJx2SvL6qyvuW1mW5uliDKW7SjhnOfDH3tT8muKSFLj8jJnZLcG8yvX5Jfx+LzNPH/hxBB7xgbKqQVQUOEgxW5uNDooELtFXYzigd2lNZRUuahweCitdlFW48btk3gNkWyvT9Z5d3t9zWr/vs/Wc1+IFEhXHNqfW48dFomPoYgTTnxyQdDtv5/QkysPG0BxlYtEq97TFIsBccqpBbBiZ0nYDg3gz0cPaUNrFJ2BZXnFnP7Mohbvn2AxkWA1YdL0CfwlVS4cnvCdXnac6PUpIseJY3rwaZBhlHeX5/Pu8tDzK3uk2fn2psNIsEZ3Hjbl1NDHQJweH4cNzmH+TYcGnedWn8l9Mzl0cDZ6yidFrDIyN43TJ/Rk/Z5y1u9tfj6oRKvu1IJJsk3um8mQbil+FRKBPk4ipcSkadxw1KBOqbKu6HzkFVbx6uId/FZQSaXDzZCuKewrd1BWE/5NemUY+QKjgZh3ard9uJY3ftkZsjzBYsLh8TZrUvZ7V05jYt9MoP0S3yk6BrvFxN9/PwaAD1bk89R3WwxxbP1VUOGgsNLF8aO6k5pgwaTpE1h9Us/d5/VJPli5O2jbS/KKWZJXHPLYc9fu5a4Th2Mx6XMo0xIMWaMkCyk2c0x2HSlaxhWvLmfT/uAapZfP6k+yzUxagsUvjVUrj5WRZCXJaoqpcynmnVpjDg0IexIjwJWHDuAvxwyJm9BYRV1OHd+TU8f3bLLez1sLOee/zZ+kXZ995Q6uen1F0LIzJ/bikdNHt/oYitjg6fPG8/yC7ThcXr7dWFDnCe2kMT38uf/igZh3aoGh/k6PlyG3f9nitp75YStnTepF3yA6awpFLYu2ti6tV1qChX5ZSXrHtjGH0uOTVDk9VDo91Li8nDxWybUpDtI/O5kHTxkFwCUvLeXbAHm2z9bsZU9pDQnWgCTIxnLtus2sp+SKBWLeqQViM5vIe/h43lm6i5vfX9OiNg77+/f8fMsRITMFKBQ3HT2Ea48YxKGPfcfeMkez979wel9uPGpwG1imiAce+/0YHvtqI28u2QXoN+PN5d9njeXksbmRNq1diCunVssZk3pxxiRdaX/jvnLm/OunZu3/wOcbeOrc8W1hmiJGsJo1Ft16pH/d65N8tmYP17+1qsl9V+4s4aZ3VnPnicPDmrytUASSmWTloVNH89Cpo6lxeSmocFDh8OBwe6lxeymtdnPtm6GTLYMuJxitxKVTC2TVztJm76Npgr99uBZNCNxuF5oQWK3WAB1J46Twa03Cgi1FrN518FgmTWA3a7xw0SSm9u8SuQ+k6JSYNMHJY3M5tF8yX60/gEtYsGgiqAD3T78VAjC2VxrnT+vbzpYqYokEq4nemYlUuXQ5rbJqNw536CklF0zrw70nj2xHCyNP3Du1syb35rjR3fltfyWnPf1zk/Wzkm3GmMlBLUkpjcD+AB3JpgJQvD5JlcvLWc8tBvS7qw+umq7G62IcTQiOHZFDamoqPp8MmVUC9ASQCkVruPGdVXywInj0bS0Dc5KxmTW6JNu4+vCB7WRZ2xH3Tg30VCMT+rRMP7I2pD819aCe2q7iamY++l2z2imucnHY379vtM4PfzmMPl2U04sVNE2Q9/DxbCmoZPbjDedGbj1QSX5JtX8g31b7btbw+iSDu6WoeWyKRukbxvXi3SumkZFkbQdr2gfl1CJIQbmDyQ9+22btN9ZtoGg7ft5SyNvLdvknR/vfRe2EaRAY6wLgYDe0f7uxj8vlQgiw22z+fd3e4JMkb//o1yZti4SQtyK2kFLqiUKdHo4b1Z1Zg7OpdHjYXlTF/A37+W7TgTr1i6tdyqkpgtOcOW/B+OSaQ/wTbftkJiqh2w5gd2kNV722nDX5ZR1tih+TJvBJ2UAg4Nojor+rSBE59pc7mNKCm+qSKhdkt4FBHYRyahGkT5ckNt43hyP/8QO7SxvKIjXFSU8urLN+6Yx+XD6rPzmp9kiZqGiCdbvLOpVDu2h6X+4+aURHm6GIAhKtJnJSbBRUOJu136CusTV2q5xahLFbTCy85YhG62wvrGJZXjF/ea/xuXLPL9jO8wu28/5V05nQJyOSZipCMK5323/PfztmAJcdPrTNj6OIL1LsFpb8bbZ//ZdtRWwuqKSo0kl+SQ3vhRAz/mHzAU4aEzuT+ZVTiyC7S2uYt24fd38aPI0IQP/sJAT6RPD+2UlhpWW/9o0V/Bww50nRdmSn2Nh43xyqXV48Ph8+H7i9vnrpZXw4PT5O/b+mo2WD0TNDTdxXtC3r9pRxphFZHYrMJCu9MhKYFmNTipRTC8GNb68KKUTbGmqdWIrNzKzB2aQnWFixs5RRuWlcMqMfVrOG1RhXEwIqHR6mD8iKuB2K0NgN6SCA1btKOfmphU3s0TT/u2gShw/NUQLYijZHSsnxTwTPqVZLNCuGNEVcOLXP1uzhyflbgpbVDr4LcXBZItm8v7JNbElPtDCmZzpPnTueZFtcfP1Rzc/N1HGcPSyHPl2S8PokNouGzWxi9rAcemYkUuFw4/b6sKgAIEUb09TY2rvL8jl6eLeoz50WjLi4ql7zRuOSMO1JabWbFy+apJT+o4SrDhvAJTP6Mfj2L8Kq/82Gggbbnvj2t7D2ff+qaUzok9ks+xSK+ggheOOyKcx+/MeQdRZsKeSv76+hW5rd6JnQSLCYsJlr50RqmDUNt9fHYUOySYmi+ZBx4dR+vecYdhZV+9drZc18UtYZK5F+RRBpqIMcXJfoj/U+H2zaX8FjX21qsT2HPvYdj58xFpOmn4AmIzeXpumKE7X5ugBS7WYV/djBlDvCT7TYGk57uvEM23ecMJxLZvRrF1sU0U1agrXJMftPgmTHDsbxo7pHldZtq5yaECIPqAC8gEdKOVEIkQm8DfQF8oAzpJQlQs9C92/gOKAauEhKGTxZVIRJtpkZ3kNX/Ljn03X8b2Feexw2JPklNZzxbOMXsEA+uvoQxvZKbzuDFI2SlWzjlT9MZsXOEnw+iVfqN0I+n/RrfNZOsv5uYwEb9wVP1tha7vtsvXJqirDITrExrldGUKc2plc6NpOGxSywmjTMJg1p3OD7DMk/KSUWk0ZuegLnTe3T/h+gFUTiSe1wKWVhwPotwLdSyoeFELcY638FjgUGGa8pwNPGe7vStRM89Uzok4HAeFKU1Dmhai+aPp8+wDeqZxpDu8XWPJJoZNbgbGYNbnqG6pWzBvDHN5bz2/7KZs8Xqs+MgVncdtww7BYNie5cFYpwyC+p5v0VwUP4V+8qJTPJylPnjCfJZiLRqnc71uZYS4zyTNht0f14MnCYsfwy8D26UzsZeEVKKYHFQoh0IUR3KeXeNrAhJFceOoArDx3Q4v29PsklLy/l+3pSM6GYM6IbicaJM6RbKuN7p2Mza4BgQHZSVJ88ioakJVp4/dKpVDo9jLzrq1a1tWBLITe+s4ovb5gVIesU8ULPjETeuWIaRZVOCqtc3FFPcq24ysXZ/w0d8h/NOSNb69Qk8LUQQgLPSimfA7oGOKp9QFdjORfYFbBvvrEtpFPzer2dMgT6idOGAkP5dU8FOw+Ucv83u6h0BpfI+nLdvrDavOWo/pwzqX1DbDvjdxsrfPlreL97fWpvdGp1Ie86UamJKFrG5H4Hg47OmdybNfmlnBLG3MoRPVJJiuLI7NZaPkNKuVsIkQPME0JsDCyUUkrD4YWNEOJy4HKAXr16tdK85vH1hgP8+cONTVdsA7qn2XF5fJhNIqoT9Cl0ThufS7+sRMprPEYgko/bP1pHYWXoLsmsZBsOt48p/TOxaPqYxzcb9jO0W0pMCc4q2o4Kh5t3l+Xj9UlcXh8Otxenx0eV00NpdeMBTyvvOComzrNWOTUp5W7jvUAI8SEwGdhf260ohOgO1MY47wYCvVRPY1v9Np8DngOYOHGiDEzp0tb06eppt2PV5/r3GqqQPHLaKM6c1LvNj92e33G8IIRoEJ4/okcal728hCqXF7PJhAC8UrLDiMytdXj181+VVLt4/Iyx7WG2IgoprnJx+jM/h4x0TLDo42UZiRYm9c0gPdFKt1Q7XVNtVLm8VDk9TOqbGRMODVrh1IQQSYAmpawwlo8G7gU+AS4EHjbePzZ2+QS4RgjxFnqASFl7j6c1xaS+mY2m8vB4fX4lfq8xDeD+T9fy4er9bWJPe+gQKtqPnhkJvH7RWNxeSUJSMh6vD7dXsjq/lCteXR5yv2jPRKxoWzbsLW80dN/t9VFT5WVUbho3zxlCis1Cks1Est2MzawmXwfSFfjQCHQwA29IKb8UQiwF3hFCXALsAM4w6s9FD+ffgh7Sf3Erjh0WdaIKjdQd3tp5Z77a6EPpL6vNWu3zyYPLRiSiT8Ix/wo9mbElXHFof249dlhE21R0PJe9sox56yN3o6OUZxSNMX1AF1bfdTS7S2rYVVJNfkkNu4qryS+pZldxDZv261NMfth8gB82Nwxwq5VwixVa/G+RUm4DxgTZXgQ0UN81oh6vbunxWsI9n67npZ/z2vOQYTG8eypzr5/Z0WYo2ogJfTJa7dTG9Ezjd+NyOX5U9whZpYgl5q3fz2WvLGt1OxaTYEiMTRmKuVvA81/4hZ9+K2y6YgQRQJLNjCbwq4EIITAZCiF3njCcjCQrHq/E5fUyqa+SQoplAqeNPPTFBp79YVuz2xjWPZXsFBvZKWpumqIu93+2nucXbA9e9ruRdE+zk2K3kGwzk2I3k2wzk2w3x43maMw5tcwOGOyUQKUzdJDJVa+vYEB2Uh0JrCqXhx1F1QgB1x85iESrrgxvM2v0zEjkkIFKmT/auOLVZXy1LjLdjm8t3cVbS3cx8dZMuqV1vGCAovNwxNCckE6tpMrFsO6pdEmy0qdLYlzOg405p/bvs8bx77PGRbxdr0/y5PwtrN1ditPjw+OVLNoWvoL71hADuVLCv75pKHh785whHDo4G8FBTUhdA1kA+hhf7f6gZxaQUl/v3SVRjcN0AFP6dWmRUzt1XC5Ws8b0gVl4vD5cHh8ur4+h3VKVQ1M0YPrALPIePh6fT9L/trl1yv4xbzP/mLcZgHtPHsEF0/p2gIUdi5CyWdPI2pWJEyfKZcta32/cVvS95fOONiEkjUVx1lI7+bo9QvqFEMullBPbou3A86Q9P1MovD7JZa8sY/7Ghor94fDXOUO56rCWq960lM7w3bXXedIZiNT3LaVk8bbioAoh39x4KANzklvVfqSI5PnV2HmibudbwYZ757B59wFcHh8JiXoOrQc+38CSvOKIH6t/VpK+oOvn+rsVapUnAP+k7WuOGBjx4yvCp6Ta1WKHBlDpdFNc5cJu0bCbTWgqTZGiEYQQfsH2+mw9UNlpnFp7oZxaK0iwmujXJRE4ePfRtQ26iz6/bgYjeqRFvF1F25CVbOPxM8Ywf2MB1S4v1S4P1S4vlU5Po/OJannqu6089d1W//qHf5yu5iwq6rBke3HITB8pdjPf/fkwuiRZ1ZiaovVsL2xdxuyp/TP5z9njVdRblHPq+J6cOr5nnW1f/rqPK18LPck6FP2z4+tOW9E0XzeiKVvh8DDx/m9CluemJ/DptTM6JKiuPVBOLUJIKdl6oIqMxNadKIu3FTPpgW9IT7Sw6JYjYzLdejwipWTW4CxuPKIfn6zdz5YD1Y3W33jfHOwW9dsrgnP7CcPJzUhg2Y4ShnRN4XEjOCQcdpfWsGFvecxGWCun1kKcHi9Dbv+yzdof3DUFsyn+ug5ije82FnDxS0ubvd+x//4JIWDbgSpOHZfLY78fg0mNrSkCuPiQflx8SD9Oezq08n5Wso13rpiK3aJPGUowpg3F8jitcmot5PGvw78zCoe5180MOdir6Py4PD4+W7OHjfsqsJk1/3jG9sKmx9CCEbjfByt3c8/JI0ixWyJlriJGkFKyeX/oTOu9MhOYu3YvaQkWUmtfdgtpCRZjW+zpPyqn1gxu/2gtry3e2SZt+zrx1ApF06zYWcKN76xuVRvXHD6QmYOyMJs0LCaBxaThcHsZ3DUlqvNbKdoOIQRr7z6GVxfv4I6PfsVu0RjePZVyh4eyGjcb9pazcmdpk+28d+U0JsaI0pH6p4SJw+2NmEO7ec4QclLs2MwaNrOG1axR4fCwfEcJIKl2eZnav0vcyNrEAlP6ZfLs+RNYt7uMJ+ZvAWBotxScHn0y9e7SmibbePK7LTz53RbOntwbTcDRI7px6ODstjZdEQOcP7UP50/tE7TM4fZSYTi5coebsho3F/+vbpf46c/okZRr7j6a1CjvEVBOLUzsFhMfXX0Iy/KK8UmJ2ytJsZtJNfvw+CQWmx2PV3LTu03frT/65aawj/vZtTMYmavC+Ts7QgiOGdGNY0Z048ajhzQo/8fXm/iP4eya4s0l+s3T67/sZPtDx8VlWLYictSOp9VGVC/ZXoxJE3h9DXuHiitdyqnFE2N7pTO2V3qdbfVnyZ82QQ/j/njVbq5/a1Wrj2m3qKe1aERKSY3bS5VTT8J4zIhuzByUzQfL8nhreeNpBE8a04NJ/TKZ2CdDOTRFxHl/eX5Qhwbwn/lb+McZDZKvRBXKqUUYn0+yrbCS4ipXq9v6/s+H0bdWSUQRFZz4nwWs3V3Wqjb+cswQclJtWFX3s6KVrM0v49znF1PuCC24HsjI3OgPVlNOLQL8/dttvPLL7oi3W1bjjnibirZlZG5qq53azEe/q7M+pmcaH18zo1VtKuKTeRv2h+3QQM9Bec+n6zuVZmRzUU6tmby7bBd/eW9Nq9t59PTR9M9K8ke6CQQen49EqzlqTyYFPHTqaCwmjVcW7YhYmwlWE7/uLsNinCtWs4bVpOnrZo0Ei0nNYVME5cajBnPx9L4UVDipdHqocnqodHp45oetrMkPffM1+/EfGmwb0yud1y6ZTLLN3Km7xZVTayafrN4TkXYe+HwDJk3Pr2Yy8qyZNIFZO7hc5yXqroOeZkYiDy7XWwc915vPJ3nw1FEM7hpbGW47Iz6f9Ad6RIrF24o54T8Lmqw370+zGKR+Y0U9MpKsZNSTxDpmRDc+WrmbncXVfL+pgNQECwcqnJRUuyipduPy+Bq0s3pXKaPu/tq//tUNszpl1mzl1JrJq5dM8S/7fJLi0jI8PklCUjIerx4J6fbq+dY8PsnHq3YHjXpr767FR77YyAsXTWrXY8YjD8zdgNsb/pxDkyaoTf8kOXgz0ly6ptrokqz0QhUN+XlrIVsLKqlxeymqclFY4aKw0klhpZN1e8qD7mM1phtVhOi6zEyydlrtSOXUWoGmGV1BQGqCHgYrpcTr0x3a5v0VvLV0V7Pa/Pvvx5BoNaGJ2sSg+pOZEPif0HyybsoZgZGGxkhLQ73tJk0wppeaFtAenDOlNy+EyEpcnyGGFJr+uxlJYIXw/7ZawLL+FK6fXxJYubOUQwdn898LJmI1q4ASRXA27C3nnP/+Elbdi6b35a9zhka9jJZyamHi9Uke/WojP20uJLA72e3xsrmgKuS8j6YIJ5mnovPz4NwNPPfjtmbts6kReaNw+GHzAX7cfIDZw7u2qh1F7DK0WwoPnTqKn7cWUe30UFztYldxNYWVDaOzX/o5j7tPGtEBVkYW5dTCZF+5g2d/CH3RaolDi4Xw2XjlQIWTHUVVmE0adotGv3aeejG5XyY3HDmI6TGqtK6IDEIIMhKtfBoiFqBLkpUiY/rRs+dPaE/T2gzl1MIkNz2BxbceSWGlEzgYlPH2L9t5fenBE+aUcblYTIJ3luU32eavu8vpe8vnnD25Nw+dOqrNbFdEnkkPhM5X1R4s2V7MABUlqwiDAdlJDO2WwsZ9DXsGfjcul2SbmZG5acweltMB1kUe5dSaQbc0O93qZbbumzqAvx41wK8o8v2mAm55f22z2u3RBtmyFc3n562FrN9Tjscn8Xh9ONw+hNCTLuovt/7uDB3kM6lvBpfM6IcwxkNrx0Zrx8gcNdUIIUhOSkIzxklFQL3AupqGv43a9syaLnScbDeTrESOFWEwqGsKX94wC9DHZPvdOtdfFjj+u/rOo0lLjG6JLFBOLeI8/MVG9pU7wqp7+JBs/nfx5Da2KP7wScndn6xjR1EVSTYzbq8Pt1ePSnV6fMa6D7dH3+by+sgvCS04nGIzk2I3k2K3kGI3k51s46QxPepsA9hTWsNtxw1rVFG/vqyaQtGW7Ciq4tDHvq+zLdVubjAh+7VLpsSEQwPl1FpFWY2bZ3/agdWs8a/v8pq9/0Onjo68UQqW7yzjpZ/zAL3bOMVu9k9ctpg0km3mOpOXLSbBIQM05q7dS4Xz4J9dCPjoj4cwpp7ep0IRDbyzdBc3v99QKKLc4eGawweyrbASs6Zx14nDY2o6iHJqBm6vj5d/zuPdZfn+u3egThdSbUh1LXlF1WG1bTNrPHr6aH7eUsShQ7KZMSiLZKs5qsNmOzPjA6Yv1KZ8+fPRg7nmiEGN7vfI6eomQxE7BHNooN+szd9YQKLVhNWsce7zv1Dp9FBe46bc4eHpc8dz7Kju7Wxt5FBOzWBPaQ33f76hTdp2enx+xf63lwWft3bcqG7868xxas5RBDBpgl9uO5Jzn/+FLQWVAPz96818t+kAl83sz5yR3TrYQoUisvh8kiqXh2qXnhWiyunlmfPG8+HK3ZRWu9l6oKpOkNv6vcEnXYMe2q+cWgzQp0sSP918OBUOD0KAy+PzJ3h0erz+sRhdKcSHy6sHE1RW1+D2SvLL3HywsuWixnPX7uPh07zKqUWIrql2XrtkClMf+ta/bfmOEpbvWA7A3OtmMryHGtdSRDcuj49hd37ZrClFNrNGks1Mks3ErmK9J+N3Y3tw9eED6ZZmJ0XlU4sdemUmNqv+uj1lHP9E05p8jfGXY4bwx8MGdGqB0GilW5qdvIeP5w8vLWX+xoI6ZQ/O3cDhQ3PokmTFbjHG14yX1Szqrps0LAHbrMb4XG3kokLRUZg1wZwR3fh8beM5+gASrXqi0FS7hSSbibQEC6N7poMEt1fy+i87+fMxDRPcRhvKqbWCRGvLvz6rSWPzA8dG0BpFKC6d2Y/5GwvISraSk2KnsNLJ4m1FLNhSGPFjje6ZxicqTYyindA0wVPnjuepIGW/7i7jmjdWkJlkZUyvdKqdXqpcHr74dV/IJ7tUuzlo5vZoQjm1EHh9kmV5xVS7vdgMcU8pYcO+Cu746NdWt18biKJoe6YPyGogRyalpLzGQ1GVE5cR3u/yHgz3dxndzVe+tqJZx1qTX8ZjX23ErNU+zenvZk1gNml4XE5MmiA1uQKzpmE2CaNc82do8EqJxysZ1zs96ruCFB2Dw+0lr6iKi6b3xaQJnB4fNS4vVS5vUIf26GmjsVk0jh0ZvWNptSinFoIXFmzjwbkbI97uc+dPwGrW6JJkY0tB5cGJtoaobajerIOpZCRmk0ZuekLEbYsnhBCkJVqanJvz2bUzeHXRDnxS+oWHhdAjyN5cEjzo55kftrVINq0+vTMT+eCP00mymrFbNNXVqQibz9fs5aZ3V4ddv1dmItMGdGlDi9qPuHdqry7eEZEnr3C5/NXlEWnnwVNGcc6U3hFpSxGakblpIUP9G5tn6DMyNXh9ErfPCDDy+igp0xVLVu1z8LcPGz/vdhZXM/H+4HJcV8zqz63HDQv/gyjiihPGdKegwsme0hoOVDj5ct2+Rut/uDJfObVYwen2drQJzaJXZgJdkmzMHh4bOm2xiqYJrMY8xARMTH3w27CVZsIhOyV2JssqIk9JlZvXFu/wz9OsZVzvdHLTE8hKtpGVbKVLso2sZBszB8WOMHbcO7VLZ/bn0pn9AX0C9pe/7uPaN1d2sFXBUWHonZsFvxVy3gvh5a4KF6tJ46s/zWr3LACK6GbD3vIGDg30PHwrd5aSYDGRaDWRYDWRYDFx/Vs1eH0SZ0DG6/eunMbEvpntaXZEiHunFojFpDF9QBeSrCaqXB3zBDe6ZxrvXTldzVeLQjKSIh/U4fL6OPzv36MJPTlsfc6e3Jt7Tx6BxaTOF8VBDh+aw28PHEtRpYv95Q4+XLmbpXnF7CmtoaTaTY3bS43bC1Wh29i0v0I5tVigS7KNdffOCbt+MIFaKSU+CS//nMcLC7YHvWMKxZr8sogEGSjanxE90ppM+hqOoLHXJ7nuzZV15h6FOiXeXLKTN5fsBOChU0dx9mQ1zqrQsZg0uqXZOee/i9lW2NB7dUu1k5pgJjPJyuJtxZw6Ppfzp/ZhZG5aVN8kKafWBgghMAn4w4x+9MtK4uKXloas++UNM+nbJQmbWUW3KXRMmuC244eFNaE2kI9X7VZOTVEHlyf01KF95Q6++tPRpCXE1rQR5dTagB83H+CCF5eEVXfOv34CYFr/Lrx5+dS2NEsRReSmJ3DquNyQ0mtXzOpPZpKV7BR9oN9m1iisdFHt8rRKFEARG/z1vTVBdWZz0xNwuL0UVbk4fUJPkqymDrCubVFnfxsQrkMLZNG2Ivre8nmLjjd7WFeev3Bii/ZVdCz7yhz84aWlrN9bzuS+mSBAoM9dNDWSxeHZH7eFLPvgj9MZ3zujDaxVRAuhMoAEDoW8tzwfgIdPHYU5irsb66OcWhuw8o6j+PvXmwB4/ZedbX68X3eXtfkxFG3D4/M2+RXTl+QVh71fgsXknwMn6423ZSWpcP9456FTR/G344fpgSFVLsodemqZCoebkmo3//72N0B3bO8tz2fp32bHzDQR5dTagKIqV7Oc2blTejO6ZxoZiVamDejil08yCaFyrsUg98z9jfdXNT4ZtjEun9Wf29TEa0UTJNvMDO6a4l9/dfEO7v50fdC6H6/azSUz+sXEuL5yam3AvrKmJ9ku/dts0hIsKnQ/zpBSsio/dC6rUCRZTTxy+mgyEq2kJVjYvL8Cj1fSNdUWU1mLFW3DG7/sbFQ56f7PN9AzIzEmcg0qp9YKHG4vi7aXYBKC1BQP2wsr+ev7a8PaN1Ye9RXNQwjBh5dPqBPSv6u4mvs+W8+SvGJKq91B96tyebnmjeCiAJvvP1bdHMU5Xp+kpNpFhcNDhcPtf6/tdgyVADkzycqo3DQm98vkqOFd29nqtkE5tRZQOw/tgheXsGR7+OMggUy8fx7UiuOiC+SeMLoHtxw7NKrniCiaR2tVSG6YPQiLKfq7jBQt59o3V/Lp6j3N3m9873Re+sNkUmMsE4Ryas3kro9/5eVFO1rdTmGlq8G2FxZs54JpfejTRUkixQvjeqe3eN+N983Bbom9kGxF85g5MCssp5abnkCSzaRnvTYyP1z/5kq8Ur9R9xoC3F1T7dx/ysiodXbKqTWTmYOyI+LUQnHHx+t45Q+T26z9jqBv374Aw4UQqwCPlHKiECITeBvoC+QBZ0gpS4Q+Uv1v4DigGrhIStm8pGZRRJLNTN7Dx/Ovbzbzr29+a9a+NtXlqADOmNSLMyb1Clq2cEsh5z7/CyeN6YHZJKh2eptU7AeYMTArZJudHeXUmsns4V3rSCFd/tIvfL0xchmUu8buWNtmKeXYgPVbgG+llA8LIW4x1v8KHAsMMl5TgKeN95jmhtmDuWH2YBxuL0Pv+DJkvZmDshiVm8ZhQ3JiIlJNEVmcHi8lVW7KHXr4vsvj499njaW8doytxlOn/p0nDCfFbibFbiHRasKkCRKtJsb2Su+YDxABlFNrJTkp1oi089blU5naPzbyGYXJycBhxvLLwPfoTu1k4BUppQQWCyHShRDdpZTN04zqBDjcXiqdHpweH2XVbo574qeg9TQBaQkWXB5fk0LaWck2bp4ztC3MVUQxpdUuxt03r8GcxfpYTZqeXd0nmdw3kz/M6Nc+BrYjyqm1kpuPGsDNRw0gNTUVKSW/+7+fWb2rtNntlFY3HGOLFYwnikFCiOXAs1LK54CuAY5qH1AbepULBOr75BvbQjo1r9frFwqufe8MjH4wuBOrj09CiRH1ePjgLizJK6XK5cVm1vjX6cNJtprwGmMeY3umttln7EzfnaJ5CCEY0jWFjfsqGpQdP6o7F0zrw/AeqaRE6ThZc1BOrRVIKXF7fbi9Elntxun1NunQFt96JFazhsUksJo1rKbYFzJesGABPXv23IA+TjZPCLExsFxKKYUQzUpNIIS4HLgcoFevztn3/7djBvDE93m4fQcH4ZtKwPDd5iL/stPj46q39LlFb/9hHMO6JbeluYooJsVm5oJpfbntw7VYTRou70Eh48/X7uXztXuZ2CeD966a3oFWtg9x79SklKzYWcKirUX0z07G7fXh8vgoa2RuR3M5aUwPJHD25F50S7NHpM1oIjc3FwApZYEQ4kNgMrC/tltRCNEdKDCq7wYCvVRPY1sdjKe95wAmTpwo66dyaSy1S3vg8fo4Z/pATpvcH6fHy9tLdzU7ECSQK976lVV3Hh1BC0PT0d+donlIKel/21z/eqBDAz3q0aQJ/nzMkPY2rUOIS6fm9vr4/TOLWNWCbsJgDMpOJNFuxWbWsFtMeLw+ft5ahNWkcd/vRtAtLQGTEDjcXr5etw+fhMOGZMdFOHZVVRU+n/4nE0IkAUcD9wKfABcCDxvvHxu7fAJcI4R4Cz1ApKyzj6et3FnCKf/3c0TbnNo/kyGGxJHFpHHh9L4RbV8RW1wxq79f5Lprqg23V1JcpQ9p7C6toWuqjbs/WUdqgh4QYtY0TBrGu95TZNYEx43qzuwon4Qdl07N45URc2gAvx2oRo8+r4vL6wtbYQTgmfPGM2dk94jZ1RnYv38/p5xyCsBwYAnwhpTySyHEUuAdIcQlwA7gDGOXuejdlFvQv9SL29/q5tEW6jDHjuyuHJkiLIQQ3HrcMG6tpwcaeLO1v9zJ/nJnk219sHJ31CvUxKVTS7CamPenWRz1zx872pQ62GLwya1///6sXr0aIcR6KaU/P46Usgg4sn59I+rx6va0sbX0zEhskPF664FKjvzHD81qZ96fZpGeaCXFbo6Lp/hQCCFWArullCcIIfoBbwFdgOXA+VJKlxDCBrwCTACKgDOllHkdZXNH8PT3W3nky41NV2yCf/x+DEKAxycZ3TMtqh0axKlTA/0H7Aj6ZSXx1zlDYu6JTHGQDXvLOfbf4UU+BtLUTdYrf5jMrMHZLTUrWugK/ATUDuw9AvxTSvmWEOIZ4BL0uYuXACVSyoFCiLOMemd2hMEdhccbOqt1U+SmJ/C7cT04ZVxPBubEVgBS3Dq1Yd1TG9xdByKlZMGWQpxuHz5j8odPSuwWE5oQuL0+KhweCkorKK/x8OSPTauMjOmZxsfXzIjYZ1B0TnpnJjJjYBa/bD8YyVg7f6g1N1OrdpXGtFPLz88HSAOeB2401GWOAM4xqrwM3I3u1E42lgHeA54UQgjjST8uuPbIQVx75CD/ernDzZJtxfikpKzGzRPzf2NXcU3QfXeX1vDUd1t56rutABw+JJsXLpwUE6mu4tapNYUQgpmD6l5AWtKlFMjLMSZ/pQhOks3Ma5dOweH2suC3Qrqm2hFCH2Pdsb+Elxbns2FfVYMotaYIzI0Vi9xwww2gz0us/WK6AKVSyloZjNo5ixAwn1FK6RFClBn1Q8r7BM5n7AxE2pZTnlvO1sKGY/vhsLOoipKysjYVU2+v7145tWaQkWilW6qdfeVN50sLxgcrdsfkDH4FXP7KMr5ev79Nj7EmvzQm8l0F47PPPiMnJweCRVy1gmiYzxgJfFJy+5yBPDJvKxv3V4WsZ9YEz50ziom909rRuvZFObUw2FtWw7SH5re6nS0HKul7y+eAHjFnNWlIKZHoJ6VP6t1UPil54HcjOXaUGneLFpbvKGlW/f9dPIm0BAtJVjMWk8Bi0oxJ+XrWc6tJXzbFQHdQOCxcuJBPPvkEYBR6YEgqurB1uhDCbDytBc5ZrJ3PmC+EMKN3WxbVb7ep+YydgZbY1NIgEY9P8v6aAxwxsuMcfFv/BsqphYFZa94jeaLV5FeQCBxDeeOXnf7lAxWNh9c+9MVG5dRaQUG5gxU7S7FbNKTEUPPQbxz0d2PZF3zZK6WeN88n/ak5fFLi9en7y3rLZ0/urZdLiZTg8vh46ee8kPZd/L+lDbalJVhYfVf7TLDubDz00EM89NBDCCHWAn8G/iylPFcI8S5wOrqjqz+f8UJgkVE+P57G03pmJIRV74pZ/TlxTA8SrCYSrSbsZhNpCbEtlaWcWhhkp9hCBpXU9hPX3n3859vf+Me8zS06zs1zhiAQzBnZjV5hnrSK4Ex+8Nt2PZ5JE2hCH4s1CX05xWZGCNA0geCgvmMozpjYs32MjS7+CrwlhLgfWAm8YGx/AXhVCLEFKAbO6iD7OoQTx/SgZ0YC9362np4ZiTjdXtbvLSe/pG5gyLM/bmPBlkIKKpw4DYFtn9SvNX88bGAHWd+2KKcWYY4b3Z2XF+UFTQLaFI9+uQmAl3/OY/FtDaZwKZrBjUcN5vEW3lw0xu3HD+P8aX3QhDBeNEu7s/5NkKIhUsrv0bM2IKXchi6rVr+OA/h9uxrWyRjXO4MP/3iIf93h9nLze2tYsKWQ9EQL6QkW0hIsfLfpQIN9H/1yE+8ty2db4cHxt5PH9uCR00ZH/RxJ5dQiyKKtRZz938VN1tMEdYRtk21mKp0H8xy9eNGktjAvrrjuyEGcPqEnX6/bR6LVjMcnqXJ6WLO7zC/46vJ4cXl8bNhbEXbwz/2fb+CDFbvRNBAIhndP5Z6TR0T9hUAR/dgtJp44e5x//cfNB7jz419JtZspd3ga1A90aAAfr9rDXSdG/7kcd07t3WW7+Mt7ayLSVkaixT8GA1AR5MQJRv2pSgNzkvno6kOCV1a0mB7pCVx0yMFo09ogndayfu/B0OS1u8vo3SWRaQO6YBICk1b3ZdYENrMJu0XXBZVSxnxWBkXHUFDh4KT/LAx6g9Y/K4kUu5lku5kUm4WsFCt9uyQxrHsqvTISSbabSbWbMbdhSH97EXdObcXO0oi1FWyM5KjhXTFrQp+X5PHh8kpcHi9Oj67+r2/z4fb48BoO8cajBkfMJkVo7jt5BHd8vC7i7T721aaw614xozdXz+oTcRsUitJqd8geh3k3Hho3kbRx59QeOnUUD506CoicdlogVx7anwl9MiPapiIynD+tL+dP6+tf9xnRqXqUqg+vT+L2St74ZSfzNxpzzoQAqddbt6f1k0efXbCTZxccjIIdlJPMp9fOiPouH0XHM7hrCtsfOo4Kp4fRd39dp+z3z/zMCxdOIiPJ2kHWtR9x59QCufLQ/vzzm824PC3XUKslO8VG78xEHvtqE/ecNJKeGQmYTQKLpsWE9EwsomkCq/+30Z1KabWLf34T+QCTUPxWUMnQO75stM4TZ4/jpDE92skiRTQjhCDVbuGza2dwwn8W+Lev2FnKuPvmMbFPBudP60Oq3UJqgoWcFBu9MhM70OLIE7dObf7G/Xy2Zi8nju6BJuDd5fmtau9AhdM/9+yYfzWt/v/ZtTMYmRu7s/qjlfREK/P+NIvN+yvx+Hz+uWm1rq82QESib/f6fAef9rz6XDaPT/LwF5HrAbjuzZV8smoPVrM+SXtZXgnd0+zMHt4Vq0nDZtGMdxNWk2B1fhmZiVYuOqRvm8oeKTovI3PTyHv4eBxuL396exVf/LoPgGU7SlhWTyjgnSumMblf7PQuxbRTKyh38OyP2/D6JIFj8wLBiwu3d5hddotGThvk4FJEhkFdUxjUSp3Fiw/py7K8Eh76YgOnj+9JZrINj9dHZVU1Hp/EbLXh8erdnm6vxOnx4XB7qXF52VlczQ+bDzAyN5UEi4nSajer80txur1Uu7x4fJLdpTUNLk71eWBuw8ztQ7ulMPe6mar3IE6wW0w8fd4EIHSg1AsLtvH+8nxsFg2bWcNmNmE168sWk4YQ+k2dMITcPT7JqNw0DhmY1Y6fJHxi2qnd+M5qFmwJqW/aYfTLSiYzDvq24xmb2cQhA7P47NqZdbbXn6cmjSc7j1fi9vnYWVTNVa8vJ9lm5tfdkReA3bivAq+UaCinFg843F5+3HwAn9QDpT5ds5cl24vr1PlqXcs0S5f+bXabJMhtLTHl1NxeHy8tzKOoyoVZEwzITmLlzhIsZs1/pwG1dx36Uu1dCEBxlatd8qxt2FvO1+v3c5ySwYpLiqtcjH6w5dML/nXmWCwmTdeMNOtdj7W6kZYA3UiLWcNiTCmo7aJUT2jxgc8n+XVPGZe+vIyCepJ8qXYzWSk2spJsJNn0pzKr2eQ/j6wmgaYJf7qkWn1aKdHjBEwak/tmdkqHBjHm1OZvLAja5YLL2/7G1MNq0rjzxOEIAV2SbBwzomtHm6SIMMVVLv7x9SZjHE6PpHR7fcZLX65xulm2s6zZbR87shvZKTZuPGow6YnqKV/ROI98tZFnf9hWZ5sQMK1/F3JSbHRLSyA3I4Ge6QkMzEmOqWCRmHJqRw/vypPnjGNHUfVBMeEAFfwVO0pZtK2BkHe74PL6uP2jX+tsu2h6X+4+aUSH2KOIPI9+uZG3lu5qk7a/+HUfE/pkKIemCItzJvdm9a5SNCFIS7CgaYLyGjc//RZ8OGbRrUfQPS029GZjyqkJIThhdOjQ59W7StlZXG2Iz+pqDyaTvnznx7+yoyiiqZyapLMOtCpaxl0njmB0z3QkEpMQ3PLB2ha1YzVSztSen2ZNw6wJNUlfETZ9uiTx1uXT6mwrrnIx/r55QesHptZaecdRUT2fLaacWijKHe4GkxE7mjcvm8q0AV062gxFBEmwmjhnSm//+qR+mdzw1ipG5qby5pLwnuAuPqQvd52ont4VkSczycpVhw3g6e+3hqyjCSitcSun1tmxmjT6ZSWxvTB0Rtj25uz/Lmb+TYfSPzu5o01RtBEDsnW1EICeGYlhyWldNrN/W5uliGM+Xb0n6PbrjhzElYf2J9Ea/S4h+j9BGNgtJr7782Et3v/jVbu5/q1VEbOnlgqHRwncxhB7SmsOzjdze3G4vOwrd3DjO6sBPQloWU1DvVCzJnjwlFEM7JpMj/TYGNdQdE5++MvhDL/zS5z1VJR+P6FnTDg0iBOn1lpOHpvLMSO64fb68Em4+vUVEZn/dvJTC/3LXYzHfUNqkPF9Mvj3WWNj5kSLZb5Yu5f/LcxjSV5xo/WCObQ3LpvC9AFqbFXRdnh9kns/XcebS3bh8gaXBHx32S7Om9YHu0XPjm0xiai92VZXzDCxW0x+0dnXLp3i376vsIQZjy9q9fy2oqq6SUXnrd9PXmE1w3uoZJKdmS0FlVz1+ooW73/Of3/xLy+85Qhy1ZOaIsJUuzy8vGhHo3WemL+FJ+ZvCVn++BljOHV8dGRmV06tlTz9046ITth+5rzxTOiTSYLVRLJN/TztTX5JNTMe+S6sumkJej69SPHRyt1cffjAiLWniD88Xh97yxwUVbkor3FTVuOm3OHmxqMGs6/cwRu/7Gy6kSBE081WXF01pZS8uDCP1xfvYFthFRdM60Oi1YzVJDCbNKQEr5RIY/KsT+rz23yBy4FlPklhmBmTQ7HunmNIUs6r02Azh58CpqzGzUXT+2Iza36lBYtJMxQ9dLWPg+v6NrfLgUUTpKUk+9VATJrAJyUjeiiBa0XrmPTAN0HzPAbjibPHMSA7iQSjFyrBYiLBaop65Zm4upq6vZL7PlvvX3+liUfy1pBgMZFkM5FkM2PWBFsPBI+8VHm02pdyh5uznl1cJ3t1c8lKtmIxabzyh8nNFj6ur/2oUESSW48bxs3vrQlZ3ln1GiNJXDk1q1ljxR1H8dNvB3hy/hZOHd8Tn6wrZeTy+HB6vDjdPn8k2/4KR7PFZWuMCLjCSleDshcunMiRw5RMVntSXOXi8leWNals3xj/PmssJ4/NjaBVCkXkkFIyoU9GnW0T+mRwwujuJNvMDO6aEvMODeLMqYE+AfHksbnNujgN/tsXEbXhkpeXhSz7/s+H0TcrKaLHU8CyvOKQDu3yWf39ota1I2SHD8lRk+MVnZqCCgczH/muQXh+IA+cMpKh3eKrVyDunFooKp0eSqpcfnmi2jE0r09y90kjePqHLZiEPvbWPc3urye9XjRNYLGYcXsllQ5Pq/QlM5S2X8R5+IuNPPNDcBWFiX0yuPXYoVEbvqyIX8pr3CEdWt8uiUzul8k36/ezNK+E9AQL6YkWkm1mUuxmI+u1vZ0tbh+UU0N/bB9511dh199SUNnqYz506ijOmtRLXUzbgfoJWZOsJnwSTpuQS7dUO8/+uA2zJrCaNV1n0SSQUjK8exrZKTYykizNCiBRKNqDgTkp5D18PFJKbn5vDe8uzyc3PYHUBAtl1S4+W7OX6kYylDx62mjOmNSrHS1uH2LSqUkpKXd4OFDhwO2VRgSj8eRlRDf6JEYUo142Y2BWuyYUvffT9Tw4dwOaEJw6Ppfbjx+OKYojjjoz50/rw28Flby5RA9nNmkCp8vLa4vDD28ODPxJtJpJsppItJn5cfMBAGYPy+GZ8yZgNmlt8hkUilAIIXjs92N47PdjGpQ5PV7KatyUVbv587urWZ1/MO3Rze+v4e5P15GVbCMr2Up2ig2Xx0eFw8O0AV24/shBUXk+x5RT27C3nGP//VNHmxEWNW4vGJG3/1uYx5+OGkyq3dKxRsUoFpPGQ6eO4qFTR9XZLqWe82xXSTU7i6qRSCocHiqdHtbml1Fc5WJvmYOtByqpdoUO/AH4ZkMBLq8vKi8CitjFZjaRk2IiJ8XOu1dOZ90e/bz+YfMBXlm0A5fHx87ianYW181QsmxHCb+f0IveXaIvz1pMObWkTi4pddiQbP7++zH+LNwCPTAh0WpSof0dgBCC0monR/7jhybrWk0aqQkWUu1mEm0mEq1mCsod5BVV87uxPXjs92OwKIem6ARIKXF6fFS7vFQ5PVS5PFQ59eUv1+2rMwG7VjjCpAksJoHDrY/RXXFo/6h0aBBjTq13l0TyHj6+zdp/dVEed3y8rsX7f7/pAKXVLgbmNG9uk6LtSAxz4rsQsOz22W1sjULROibePy9kb0J9rCaNp88bzyEDs7CZtZgZ348pp9Za7v5kHS/9nNemx5j9+I8AvHvlNCb1zWzTYymaJtlmZvtDx7F2dxnXv7UqZHoip8fH6l2lukKIWRjvmhFNprqNFR1PldPTpEObe91MkmwmuiTbYlaGLzY/VQvJL2mfzNdJVhM9M6JHSy3WEULPft5Uvr3ArAqBXHfkIJWVWtHhFFc1/YT2u/9bSKrdjBCCAxVOAP589GCuOWJQW5vXbsStU/t1dxmr80vRhMAkBJomOHZkd44b1R1NCITA/y4QaKL24qe/X/ZK6AnUTVHl8vL5mr1cqhJCdhpG5qax+s6jcXi8/nxobo/E5Veb0YVig0kQrc0vbX+DFYp69MrUh1+2HqgMOU7s8vgaPM09++M2rj58oOp+jGYcbi8n/GdBh9pw/+cblFNrZ3YVV7NxXwV2i+aXQXN6vPq723j3+A5KpRkyaXq5j0qnJ2i73dJicxKrIjopNJ7A6nPimB7kpNj0ydd2C+v2lDNnZDeOGJoTMw4N4tSp2S0mnjt/At9tOoDPp89d8/kkEj1ySIJfUURKiZR64k6fMb9tf7mDtbvLgrZdm+QzFH+dM5STxvYgI1GNw7Qnzclergn9HLGaNexmEzaL/p5oM3HMiK6YND2B4v0njyQjSSnAKDoX2Sk2uqXa2Vcvg8h5U3ozpX/sS7/FpVMDOHpEN44e0a1F+/a95fOQZU2l13rky41cddiAFh1X0TxqXF7u/Wwd+SU1bNhbEfZ+PgnVLi/VLi+vXTKeZLsZQUB3tNE1vb/CwYFKp3+KRp0uaurWrd23qtKFANyas84+/u7uIMepuy127qgVbcNLP+c1cGgA7y3P59uNBaQZU1NSEyykJlhIS7AwICuZtBi50Y5bp9YaXv7DZC58cUmL93/mh61cMau/ukC1MfM3FvDmkl2tauO8F35pulI7svz22XRJjn2ldUXLufOE4ZwyLpe8oir+9PZqAHpmJPDu8vxG9xMCtjxwXNQrGymn1gJmDMxq1f4Pf7ERgPOm9kETkNjJJ41HK8eP7k63tOlUOj3+px09macAxMGuZl9tl7MEGdD1XGebrNMFDfq7DKgrjSSy0mhjbX4pL0cwZ99xo7qRrgSvFU1gNmmM7pnOgQonT5w9jvV7ykMKegcye1hXotud6airaQv4y7urW93Gw19s9Du3ty6fytQ46OvuCOrnl2pPpvbPjJhTW3XnUcqhKcLmH19v4v++b+jI/nP2OLqm2kkzuh3TEizYLbEz8RqUU2uAlJKPVu2mqNLl/6H1MRP9XdMEH6zcHZFjJVhMjMpNY1j3+Mp3FKts3l/B0f/UJ9drAg4ZmMXsYTl4fNKItvRS7dTThWwvqgmrzdnDcjh8aA5pCbEx3qFoG7w+yVfr9vml20KJSBwxNIekGJ10XUtsf7pmsHhbEZ+u3sMHK3brYsNtzMxBWbx6yZQ2P46i/ajNAgB69+NPv7Us68PpE3rSOzORP8zoF7OqD4rI8vovO7gziITfZ9fOoFdGIqkJ5ph6GmsM9Y9BH1M567nFbXqMZJuZNXcdjRblg7CK0Nx14gj+tzCv1e0cMTSH40Z1b71Birjh9Ak9gzq1FxZs59HTR8eNQ4M4cWpfr9vHXZ+sw+uTdcKkhRBo2sHw66bC8VvCmruPVillOpj6+fOkRJ+baMxPrC3z1/NvD1Lm3y4Dlo3tPokmMAJJmuaL62diMQl/YlJNCGxmTUU3KppNotVM3sPH898ft/HA3A3+7R+u3M2HxnBJdoqN+TcdGvNapXHh1O78eF3QeRttxUXT+6IJwTlTeimH1sG0h0h1U4zKTWNMrzTcHklxZQ2pdjO/m9BbjaUqIs4lM/oxIjeVc/7bcCrKgQono+7+2r8eqzfcceHUfrz5cA5UOtEEeLwSj0/i8fpweX3Gug+XR3/3eGWd7W6vxO314fEGLPukXw/wqe8aRhjVXkRfXLi9QZlS529fDh2SzSuL8sJ+emotZk34c1TlpicwpV8m/bKS8Pj0J7s5QzOY0DuN1FTl0BSRR9ME0wdkseRvR/LO0l11uh2/Xr+f1btK/euj7/6aO08YTrLdTIrNTLJdz+ouBHRJstKnS1IHfILWExdOzWrWyE1vG1X8rokad37+W9j1N+6rUE6tHenXJYlHThuN2SQwaRomIah2eXh3eT6pdrNf37HG7aXGZbzcupqI0+Nr9vE8Ad5zd2lN0EjZNbfNbNVnUiiaIifF3kB5f87Ibg2Eju/9bH3INuZeN5PhPaLv5isunFpbMr1/ePOg3r9qGhP6KGfW3pz53CL2lwcXeG0JCRYTSTYTCVYTiRb97jYzyUqi1USCRd+eYDEhBDjdPkyawKQJzJrAbNIY30OlHFJ0DAOyk8l7+HiueWMFn63Z22T9K15bxrBuqfz9jDFR1U2pnForyUmx8f31U5j3W3mdAdqGxE/0UWfi+Qsm8fovO6hxe/H4JJ+H8WdujBrjqS4c3rxsKtMG1J1UX15e3qrjKxS1lDvcLN9RggAqHB4qnR4qHG4qHJ6Al5tKp15W7dLTKpWEkXcNYFdxDbuKa/h5SyFzRkZPNK5yahEgM8nahEPTT0BF+/La4h3c9ck6NAFu78FuwUE5yWhCUO32UOPyUuUM31E1B4+v+d2XCkW4XP7KMhZvK45IW4lWEyl2PYt7it1Mss1MeY2bqw8f2GLh944iJp2ax+tjR3G1P2w/UOUcDur3+aRkw95yrnljZdhtHzKwCyk2iz+s2+ly45Mwrnc6K3eWhtzv4v8t5Ymzx3HSmB6t+myK8Hng8w14fZL67uq3gsoWt9k11UZ6gpW0RAupdgtZyVZsZg1N00PyTf53WLK9mGV5Jf4uSCHA7XJhEpCQkIBJoNev3cdIVmvS9PPV5fEZUwf0G6ejhneNerFZReS47+SR3PPpeiTSuL4JrCYNi0nUCWZzeyROr48qp4fyGv1Jrv5NXG1Wivpd9Ve8tpztDx3fnh+r1cSkU7v0lWV8v+lAm7S9cEtRk3X6dkmkoMJJtevgidM11cakvh2nQxiPrL/3GH8gyKuLdvDV+n24PD4OH5Ljj2R1efQ/vtPrw+3RI2Jrt7k8PlxeicvjNeak6fPRyh1uSqpd/huj2jlqPlmbmw//ciTnPt5xwnAumdEvcg0qoppBXVN47dK6qkTP/7SN+z/Xe42sZo2MRIvfYXnDDAE2a4JxvdMZ3yeDMyb2irjdbU1MOrXrjxzEjqJqvwq7DFBZB+pslxxUX6/Neuzy+kJejCb1zcBuMTUqgZRXVE3gDfWxI7th0gTP/rCN0yf0xGrWGJSTHFez/DsCIQR2iwm7xcS1Rw7i2iMHNb1TBMgvqUZK/A61yhjPyCuq4p5PQ0ebNcV9n61nct9MRvVMi6C1ilhi/sYC/7LL42N/uROrSaNbqp3sFBvZKTaykq10SbLRJdlKZpKVrGQbdouGzWwiyWamd2ZiVPcIxKRTG9c7g+/+fFibH8fp8bK/sJSiKhen/HdFnbLAm6Ivft3nX66dw3bD7EHcMHtwm9uoaF/u/XR90PmJzcVq0vxJG2uzr4/vk8GAnOicO6RoW1bvKuX6t1ZSHCQIxOX1sbu0ht2lwUW0379qeodms4g0MenUghGooN6ejOmZxpT+XXht8Q6qXV6GdkshwWri91H4WK9oHJfHR2lNeJFlTbbl9fHR1Ye02fxKRWwxf2MBeUXVLdr3tKd/xmrWsJs1f8/G4K4p/OussVEpqB19FrcQp7tjItFW55fx4R8P4bbjhnXI8RXtx/2fr+eDFc1LS2Q1a2gCTEIg0bssvYaGZNcUpQGpCI8bZg/izEm9KK12U+5w43B7cRjpjmqMUH6Hx8ee0hpeCZLjz2UMvZQ7PADsLK7m09V7OHty7/b+KK0mbpzaqJ5p5D2sR/G8/HMed33SUNG6reh/29w66yN6pPL5dUpVIlb4bX8FP/5WSIq9eX+nTffPwWY2tZFVinhCCEGP9AR6NPFkX+3ysHxHCev2hJ4v+Z+zxzG4awqDuyZH2sx2IW6cWiAXTu/LhdP7Avp4hdPj88sjrckv48rXlrfp8Y8cmtOm7Ssasqe0BpfH59fz9HglbkPrszb0OVDvs0692nKf5AcjqrZ7ul3XCfX4+HLdviaODklWE3+Y0Y9zxmWTZDMr7UdFh5BoNfP5dTO5/7P1PL8g+Niv1ayRnmjBJ8EUhfEicenU2nJ87ZsbDyXZZsZu0UhPtLbJMRTNY/G2oojny8tNT9DTxpi0JusO6ZrCp9fOwGrWlKKIokPw+SQFFU7+8fUmql1eFm8LPTXpilcP3tQ/d/4ENfm6M1Hj8rJgSyGpdjMWs4bPUEovClMmpiXMfvygYOiZE3vxyOmj2+xYivDonxU6YvCFCyeSZDNjMSatmjXN76zMmsBi0nOdWTQNi1kY9Zp2ZApFR3Pe87+wYEvLsq8DdEu1R2V6pJh2aje/v4ZPV+/psOPvKK7qsGMrDjL5wW9Dlk3t34WkKIzwUiiawtWCLBO1JNvMLL7tyAha037E9L/5tuOGUuPyUlbjoqTaTWm1m7IaVx0dwFpsZq3JVCP/OnMso3umYTFp2MwaNosJV00VZk2QnpaqJlN3Qh74/OBk52SbmS+un0mXZCuJ1pg+9RUK7jppOMc/saBF+/7fueMjbE37EdP/7O5pCTx/4cSgZfPW7+fNJTvJK6xiSLeUOhOkQ3HD26saLa/V+GvsDqk2AlPRPqwKSIpY6fTQKzOx44xRKNoQKSXVLi/FVS7u+PjXFksF/mn2YGYNzo6wde1HTDu1xjhqeFdmD8vx6/eVVrt55MuNuL0+NCH8Asia0OW03F4fvTMT8Un8YqEer49qh1NPDKmZ/RF0jUXD9b3lc245dihXHjqgHT9t/PL334/h0Me+96+/s2xXVOrZKRShqHF5mfLgN/45ZvU5e3IvhvdIw27WSLCasJv1CdYJVl0ayx6QBzAj0RL1PU5x49RcHh+Db/+io80A4OEvNiqn1k7UV+S4/cNflVNTxBQWk2BQ1xSW7ygJWv7mkl1oYhc+CW9cNoXpA7La2cL2JW6cmrmDBDpPHNODk8b0wOP1UeHwUFbj5rjR0ZNwL9oxaXo6DpdX7xJ2eXXFjmgWbFXEH6XVLnaX1lDh8FBa7WZNfik7i6vZV+YwkoN6SLWbqXR6CCbGX7vtgxW7lVOLFTRN8PIfJvMnY1xMGjL8tb9/7SVOos/pkBI9jYiRSqR2ubmpRD5dvccfgTkwJ5lh3VPZsLccsxE2btEEY3qlc8q43Kh/7O+MCCHY/MCx3PjOKr+E1Y6iKvpnR6dagiI+GXvvvCbrzBqczejcNJKNJJ8pdjOpdguZSboaf7wESMX+Jwzg0MHZrLjjqBbv7/NJv3P7at1+rnsz/OSiAFsKKtkSLEHloh2M7ZWuLrRtxNWvr+DztXv96+p7VkQb//j9GB75ciOVTg9SEjRT+4+bD/DihRPDEgSIZeLGqa3eVcpbS3cBuvSR13BQXp+eW42A3Gq1eda+Wre/zex5+NRRuH0Sj9fHoJwUdaGNMGvySznpyYUNts8e1pX3lueTYDFht9Sqkmt1MqSPzE1T3ZOKTsVpE3py2oSeFFQ4ePzrzca1TGdI1xRG9EjluFHd496hQRw5tZOfaniBaytmD8thcNcUfzdAbZh/tctLpdPD8aO6MzJXJXpsS8prgkeCfbNhP99saPxm5aLpfbn7pBFtYZZC0SoWbims49AAPD4fD546CrtFiWNDHDm1n24+nB82H0AIPWjEpOkySELgv0sXAgT6ttps2LtLa3j4i43NOtY3Gwr4ZkNBnW0fXX0IY3ulR+4DKRplxqCWD4b/4ZB+EbREoYgM5Q43N7+3psH2rQeqeHvpLrqn2alxexnSLYWh3aJP3ipSxI1T65WZyHlT+zTYvmlfBcf8q22Th07ul0n/bJWxuL15+/KpnNlMIeOp/TPp3UVN0FZ0PmpcXiwmDbe34Xha/VRaG++bE7dPbnHj1ELRNdVGToqNggpnxNteecdRpMfAZMZopdrV8M+/5G9HYjVpdQSL1fiZIhrITrZx5aED+GV7EQu3BFfZT7Wbefi00XHr0EA5NdITrSz52+wW719WVka5w8PMfzZ8Ihh3nx6G+9blU5nSL1M5t3Zk+Y4SDgS5UZn8gC5u/MTZ4zhpTI/2NkuhaDHbCit5fN7mRuuUOzz88fUV/vUltx1JTqq9rU3rVMS9U2uMwx77jryi6rDq9stKYnthcFX++rm8lt8+my7JtlbbpwhOeY2b055uvNvxrSU7lVNTRBUDc1L46oZZ7C93YNYElU4Pf31/DSXV7pD7TH7wW7Y8cGxcRUXGzydtJhUOd9gODQjp0Oozrne6SnXSxqQmWBjeRB6on7cWsbAVuaYUio5gSLcUZg3OZvrALAoqnI06NIBRuWlx10OknFoIUuwWPrnmEO49eQRZya3LYN0r86D+YJckK3vLHK01T9EEc6+fyZuXTeXWY4eGrLMihFaeQhENnDulN+9eOY0JfTIalA3ITmLVnUfx6bUz4m7MuMlHBiHEi8AJQIGUcqSxLRN4G+gL5AFnSClLhH5L8G/gOKAauEhKucLY50LgdqPZ+6WUL0f2o0SO7zYWcPFLSyPW3q7iGv/yNxsKcHklr/xhcsTaVzRk074Kzv5v8C7Id66YxuR+me1skUIRWYQQvLpoRwMh40E5yfik5ONVe7hwet+OMa4DCacf7CXgSeCVgG23AN9KKR8WQtxirP8VOBYYZLymAE8DUwwneBcwEV1ecbkQ4hMpZae5VV65s4RT/u/niLSVYDFx2oRcbGYTNrOG1axhEsIvqnvo4GzW5Jfi9uqKIv2ykuJuMLetCZymMbRbCqXVblxeH8O7pzKkW0oHWqZQRI4ZA7P4xNCWreU3Q4rvrk/WKacWDCnlj0KIvvU2nwwcZiy/DHyP7tROBl6RulrwYiFEuhCiu1F3npSyGEAIMQ+YA7zZ2LG9Xi/l5eXhfpaQuL0+3ly2hxq3z5hgjT9fGsbyR6ubThIaLjVuL68t3hmy/D/ztzTYtua2mRE7frhE4ruNBr68YVZHm6BQRJwPVuRz8/sNJ2PXcu/J8amK09KIha5SylqF2H1AV2M5FwjUcMk3toXa3gAhxOXA5QC9ekUm79WrS3bzr+/yItJWcxjRPRmf1DMC6HqS4PVJQ9FEf5k1walju7W7bbHOcaO6MXetfqNSXOUiM6l146IKRWcjlNzbYUOyeea8CXE7V63VYXhSSimEaGZClkbbew54DmDixIkyNbX1ci9/PHIYdrudCocbn4Snv9/a6jbD4W/Hj8BuZJrtkmwlK9nWKQdtI/EddzaOGt7V79TG31c3bcfc62YyvEfsfWZFfPHk2ePpv3Zug+3fbzrA+r3lDMxJJtFiiqtwfmi5U9svhOgupdxrdC/WCh3uBgIfr3oa23ZzsLuydvv3LTx2s7GaNa48dAAF5Q5mPfZdex2Wc57/Jej2NXcfTard0m52xCOzh3UNWVY7tqlQRDONPUmcWi8+4KebD6dXZnzIv7XUqX0CXAg8bLx/HLD9GiHEW+iBImWG4/sKeFAIURt7ejRwa8vNDp/lO0r497e/IaVka0ElDnfjF7RxvdPRhMBkjLmZNOEff6td1l/6WJzX60ETYLVakVLi9Pgoq3azo7gKm9lEjdtbR9niyKE52M3x2S3QngTmrTt0cDYvq2hTRYxh0gS/3nMM+8oclFa7+HztXv63MC9o3ce+2sQTZ49rXwM7iHBC+t9Ef8rKEkLko0cxPgy8I4S4BNgBnGFUn4sezr8FPaT/YgApZbEQ4j6gNk7+3tqgkbbmqteWN0vXceXOUmYMzCI3PUHPTq3pGarNJmHkXAO7WePSWf1JtVv8wRax2IUXCTZt2sSZZ54JMFwIsQroD9wJpAOXAQeMqrdJKecCCCFuBS4BvMB1UsqvmnvcwFx4L140qeUfQKHohEgpufuTdby8aEeDsmHdU5nYJ4PUBP3ynmq3cMq4oCEMMUk40Y9nhyg6MkhdCVwdop0XgRebZV0EmHfjoazYWWKkltGfsAA8Xv2pav7G/byzLL/OPgvCUJp4Yv4Wnj53PB6XPpF6U+FexvZK54ihOWidcNysoxgyZAirVq1CCLEe/el9N/Ah+g3PP6WUfw+sL4QYDpwFjAB6AN8IIQZLKRuqEzfC+r0HIzs74zimQtEavD4Z1KEBbNhbzoa95eQ9fHw7W9U5iHm9prQEC4cPyamzzenxcvcn61m9qxSTJujbJbFZkli1XBUgHBoO507pzQOnjGr2cWKII4GtUsodjUj3nAy8JaV0AtuFEFuAycCi5hxo1qAsftysPwRWOj0kK2kyRZRS7fLw3vJ83F6JlJJqlzeoWHcgA3OSkVLGnUQWxIFTC8Zv+yt5c0noeWRthdIa5Czqzk28RghxAbAMuMmYjJ8LBEqBhJz+UUvgfMba9/s/3+Avd1RV/j975xkdxZG14ad6gnJAEgiBRM45ZzAYY4OxjXPOcR3WXm+wsdc5r/dz9trrtOsc1xlwwjYGk3POIEAgEEI5Teiu70ePRmmURxpJU885OtNd3V19ZxjmdlXd+14MR8uIAGvJuYEt2bZg5uFvtvHJmkPVHk+ItHP5uK50ig0jLtxO+6gQhiQHn+ZjKUHp1AZ1juH3u6fxy44MHvh6a+0XNJCT+3Xg9StGBl1IbTUI4CzKAoReBR7FXKZ8FHgGuLbOndUjn9FuVZ+/ovVy96x+RIZacesGQgiklLy34gCGJ/wxs8DJuoM5/OmUPoE1tIUQlE4NILldOFeO78aV47tVOfbwt1urjSKqD7/syKDX379j7xOnq3UdiAHWSSmPAZS+Aggh3gDmeXarSwupQH3yGcMiIrEI0aLWOltyYFFLti0YiYuwc/8ZAyq0fbn+MHklbu/+qQMSg3a6sTJB69Rq4sEzB/LgmVUlZgxDYkiJIcGQkq1Hcjnv1dqXenreayZItgu3sf6BU/1ubyshDni8dKc0z9Gzew6wxbP9DfChEOJZzECR3sCqxty499+/a8zlNXLf7P5cP7lHk/WvUPjiwTMH8pfPNnr37/tqC099t4Nl95xMVIg1qJ1b0Dm1f/+2l6e+2xGQe98wJTh//AoLCwGigS/KNT8thBiGOf2YCtwEIKXcKoT4FNgGuIFb6xv5CGaC+8erDrL+YA7fbfGfrmdlwu1B919I0QJYtOt4lbYCh5shD/0IwLe3TWJwckxzm9UiCLr/kb07RDbr/ZbfczLxESFBva4TEREBsEFKmVvaJqW8orrzpZSPU25U1xCiQ23cOKUn+zMLa3VqU/u25+1rVHK2ovXwfxcMIS7c5jOsv31UCInRIQGwqmUQdE5tev/EBuVvlKqFFDt1Stw6hQ43R3MdfLP+IFEhFpzSwo6jeaxOrVhNZ/yTv3i3x3SPIzk2DAm4DcnlY7swtkd8Y9+SogbqEnFaeb1CoWjpPPLtNj5YWTGCe3LvBB47exBd4yMCZFXLIOicWk3klbiY/sxvteaANJRV+7MqLA59u/EIt0ztyZ9O6RPUI7mmQkrJ93WYepz+zG/17vvlS4dzxpBODTFLoWg0Y3vEV3FqS3ZnctI/F/HrX6cSG2YjOswWlAFqyqmVo7gOSY3+5pVFe3ll0V6ePn8IF4xMDuoFXn9S4tLpd//3Tdb/gs3pyqn5mW7dukGZnJpbSjnKU2D4E6Ab5trrhVLKbGH+R3kBU5avCLhaSlk/NYRWzFlDO3HW0E58s/EIt3+0vsKxaf+3qNrrVt07vc0XJFZOrRyJ0aH1npr8adNBbvhwc6Pvfdf/NnHqgERiw1XdL39gyIoa5nNn9cNu0QixaYRaLditGiFWjRCbxdseUtpmtRAZYsXi0f7URFntO/XQ0eTsklIOK7c/F/hZSvmUEGKuZ/9uYBZmZGxvTPm1Vz2vQUWpc+t733c43LVXn1i08zgXjvZPncqWinJqjWRst1g23TuZXVluzv93vZScKrDwz1OUQ/MjlaMSmyPiNRieggPAHMrKVr2DWbLqbk/7ux692RVCiNhKaSJBw6GsIuwWzadTu3pCNy4Z04XIUCsRdktQ/MYop1YHpJS4dIlTN3C6DVyeV6dukJ1biNNtcOnbGxrc/5PnDqZXhyj/GaxAN/xWt7bOFLvqnXmgKIdnFNxbCLEWeM2TYJ9YzlEdBUoL5XUGymtHlcqpVevUysuptQT8Zcvkp5dUe+ztZam8vSzVu/+/60fQp0NgAkma67NXTs0HTrdBn/v8n7B75fiujOzajiKnTpFTJ8xm4cJRyUpGqwk4lldS53Mn907gveuCbuaqxfH777+TnJy8HXOd7CchRIXhtZRSCiHq9bRSHzm11soL5w/g552ZdI0L46XffCv3l5JfToWkrdLqnVpWoZMb311D6okib+FOTZhPfUKA8LZ59sG7bb6Wnu/Zb0Jb311+gHcr5ZUIAZeM6dKEdw1OKq+plTK8S2yFfYsQ3Ht6/2awSFEbnTubutVSygwhxJeY1RmOlU4rCiGSgAzP6X6XUwsUjbVpzqho5ozqjls3anRq/71mdJWKJYGgqf8NWr1TW38wmzUHsms/MQCM7R6HzVNg1KoJrJq5HW63EG63ktwujAtGJgfazDbJpH/86t2+dVpPzh2RTM/2zZt4r6g7hYWFGIa5JiSEiABOBR7BlE27CrMw8VXA155LvsGs8vAxZoBIbjCup5XHatEY1yOOFft811++5r+rSYoJ5fs/TSEmzNbM1jUfrd6pTe+fyMYHTsXh1r2ajJIynUa3ITEM81Uv/ZOSBZvSefP3/U1qW/eECCyaGTm3+1gBy/dlkBBpp9Ch06tDJLdP762mHpuB6yf1oF1E218gb80cO3aMc845B2AAptbnh1LK74UQq4FPhRDXAQeACz2XLMCcptyDGdJ/TfNb3fJ45bKR/Lojg/wSF19uOMLGQzkVjqfnlpBX7FJOraUTE24D6veP1C7c3uRO7ePVVWsgZRY4Adh8OJddx/IZpxRFmoToUKtXxfzad1bTs30khQ43hU4dl9tAl2bBRd2QJLcL54lzB6tCogGkR48ebNy4ESHENinlqNJ2KeUJzOKyFfBEPd7anDa2BuIi7Jznmf156NttVY6fO6IzH6w86ElnMdNbQmwadotGTpELTRNcMa5rqxaDCNr/xd0TIvxS7rw0oqd0nnj+pnRu/bD2HNBbp/VUDq0Jee6iYVz3zhoA1h/MYf3BnGrPXXcwh5mDOnL64KRmsk6haHp+/etUbyJ2crswSlwGC7cdI9/hppolZ8AsOjpnWI11eVs0QevU/MldX+3g+21VVbNr4l+/7mV7ej6agFMHduTCUW0zMitQTO+fWGG0BnDO8M6cPjiJcLsFS7mk6qhQK30SVUqFovUipeR4voN9mYVkFTopduoUuXTuPb0fucUusgpdpGUXkXqikAKHm/I+rUdCBP07RRMfYWdw5xjOGtq6lXKUU/MD9XVopfyywwzkWrg9g1mDOhIV2nbnuQNBXqXw5S/XH2bhtmOUD3EtH+0qhOC0gYk8fs5gbGqtU9FK+M/v+3lkXtWpxvLEhNnoGh/OsJR2nDOsM13jI+iWEEG/jlFEtLFp97b1bpqR/ZmFzHx+cZ2kaWrjl7+cpBxaExAfYedEobNCW76j5jydT9ek8ecZfekYo5RBFK2DzILa9Wpzi11sSsvlH+cNoX9Sy0tr8CfKqTWQL9el+cWhRYda6Z4Q3KUimorbp/fmwW+21vu6cU/+zA2TuxMZYsNqEdg9aRk2i1Zh26oJil06gzvHYPXs263mq7XSuQpFU3HXzH7cNbMfhQ43Ax/8odrzEiJD6BDV9uustTmnVuhwc/qLSzhwoqhB13eODSMq1GombGtmci5CoBsGbl3i0g3chsStN0yGqXeHSH7680kNulZRP66a0I1ZgzqSke+g0OHG4TY8fzolLvP1WG4JL/6yp8q1byzxX2TsPbP6cdNJPf3Wn0Lhi/u/2uKz3WYR7H789Ga2JnC0OadW4tIb7NAADucU1+m8volRDE2JxS4kITaNyNAQQm0aYXZT9V2XEt0A3TAwJLh1A5ch+ePJvRpsm6L+dIgOrVVk+M+n9vXZrhtlDzEut8Fpzy8mowGliTQhWLL7OFZNw1FShAAiItw4PU52Yq+EVh1CrQg8JS6dL9ZXFFQZkBTNJWNSOG1gxwBZFRjanFOLjwypEqr/267j7D6WD5QJ3X6y5hD7jhc2+D47Pf3Vl/mbTNGDDQ/MCArF7NaMmThvMXdC4F+XjeDhb7ey5XD9hFkfX7C9xuODO8fw/MXDSGkXrpybokG8sXhflbZt6XlcMb5b8xsTYNqMU3O6De7+fBM/bj2K5hF5LNWBNKu/igrakEdy6y542xQMe+Qnn+27HpulfthaKKO7xTHvj5O9+y7doNil49Ylbs/0dOnoznw1992GwTmvLKu2382Hc6tU3+7XMcpbw03TBNKjluN0Gzxz4VAGdoppsvepaH28saTMqf3x5F50iApp83XTqqPNOLXsIidfrq+iZ9qq6BwbFmgTFPXAZtHqHASS+tRsth3J4/QXqy8TUp4dR6ufCXj5lz28evnIOvWjCA4enjOQOz/ZCMBLnjXibzem8+kfxgfSrIDQKp3a5rRcznz590Cb0SD8oWKiaJ049cZHy4JZ+FFKqapwKwDIK3F5HVp5LlIjtdZDbrEr0CY0iDum96bA4SbCblE/SEGCYZgC21JKsouctZ5fFy56fQUA103q7p2eFOBViSi/DVSQRJJUE7UrweE07bPbq1/rleU6q9hv3e+te8TG/zKjrxKa9gPVRT2eF6QVQFqlU5vUO6HCiEc3JHd+soFvNh4JoFW188LPu3nh593cNq0Xfz3Nd8Sdom3wj+938OqivU16j7eaWJC7qZESHj9ncKDNaPUM7BTN1xsq/vbdPr13gKwJPK3Sqfli7/GCQJtQLTFhNmwWDZduoAk4Y6gSzm3tSCmR0hyVGNIceZQGc0hpRjS2JMZ0j2Nq3/YACIR31FS+LK7DYQZPhYaGelvLj8BKERVkxnzPONQ0EWEmqVs4d0TrFc0NNPuOF3BypeCiyseP5zuIi7B7AuWChzbh1CyaYP7tZVFp321O5+YPalfKby50QzK9f4KZyA18vOoQfzm1j5LGaiVkFjgY9djCQJvRKO6e2ZeRXeNqPKdyxQlFy6U2RzVvUzrzPOlDpw5I5PUrR9V4fluiTTi1ypwyIJFbpvbkSE4xOcUuFu1smOCwvyhwuPliXcXIzOhQa7VJv4qWRVSolSl92rN4V2C/R43hvFeXN9u9tj58WpsTyW1pdI03S2d9v+Uof3h/bY3nDkluWbMGTU2b/ObZLBp3zezn3Q/kyO31K0aSX+L2VtwWgN2qtfryDsFEiNXCu9eOodDhJiPfgVs3cOoGLr10Cq9suq10SlLKsgCR0rYL/t18jiVQpMSFBd10VyD539qqhYjD7RZ++NMUUuLCA2BR4GmTTq08UkpOHdiR3Y/PQjck32w4wo/bjrJwe0az3P/G93w/RcVF2Jnat0Oz2KDwDxEhVro3YgSS+tRscnNzWXMwlzeWH+ZQVjGaBoey6ibN5gt/Juur6cfWxfmvLmPNgewq7UVO3W/pI62RVu/Ulu89wSVvrAi0GfWmVK5L0fbILnRy75eb+W7LUQBPQVKzXpvTD5UdSvnsD+OV+kwQ48uhAZzSP5HkdsEr5NDqnVr3hAhiwmwtMnetVOqotMqy1bNt0QRvL0vlvRUHsGpmqZKk2FDuOq0fYXZLoM1WNJJP1hzyOjQwH2B0gOpyxOrBe9eNYXLv9o3uR9H6WXPfKTz0zVZyi12EWC2sOZBFTpGLhduP0fe+773ndYgK4aMbx9GzfWQArW0+Wr1T6xgTysYHT/V5bMOhHM7+19JmtqiMmqSOfDEgKZoLRgWnCkBb4sbJPRjVtZ13ZObUDRwuc0ooJ78Qp9tAs9o97QZFLr3OOW3rD+Yop6YAzPpoL186wrsvpeST1Yc4lufguYW7vO0Z+Q6mP/MbdotZRcTXAOCb2yYyJDm2Ocxuclq9U6uJ+BaoVjAsJRZDmvXYnLrB9ZO6Ex1mI9xu4aQ+6seqtWAYEpdhsPNoPm8vTWVAp2gSo0O9OWu6YZ5jSDNAyJDmfmGxGwnYhIFugKYJwm0W4iLsZBXWrjjS0vLfFC0HIQQXj+kCwCVjUvhsbRqRIVZcukGRU6fIqVPgcPH+ioNVrn3l172cNzKZ2HAbsWE2YsJsRIfZCLW1vpmjNu3UUuLC/aa1aBimE3K4DZxug7UHsvjD+/WPqNxwKKfC/o/bjvHypcNVdeQWQqHDzQ9bj6Ib0lPFWvNOGX+5Po0Fm4/6vK5yLauGIkRFaanKZOQHtrqEonXQITqUW6f5rt04pXd7PlubhtNtsD+zkINZRXy/9Sjfb6363b56QjceOmtgU5vrV9q0U1t7IJvzXq2+5EdL4JcdGQx4oGIJ9lX3Tq+1sKXC/yzdk8llb65s0nssuXMcmhDExERj8VRX14TwbKtQeEXTc+rAjpzqKRz66ZpD3PW/TdWeuz+z4TUnA0WbdmqypkfeABEVasUwJG7PX+UoyGl92xMdppRGAkFTOzSAyc/VHKmr6ukpmhK3bvCXzzby9YYjpMSFcSyv5kruw7vENo9hfqTNOTUpJQ9/u423l6UG2hSf5Je4K+yraLaWw4p7prPhUGmYdFkYvm6Y619uw+DvX26hwOGusZ+G0jk2rEbNRIWiLqw/mM1Lv+zBZjGnzYUQSCkpcOgczS1m1zFTJ/dQVjEXj07BpUvG9Yijb8co2oXbiQm3ERVibbWVRNqcU3Mbslkd2rhusWgCbDYbmjBrZhU6dIqdOkUuN0UOnWKXuUjri+R2wZn139I4mlvCoewiwu1WcotdLN6VQUJUCGE2i7dUysLtGU3m0AAO5xTT++/fefcvH9eFx85WKvaK+nH1f1fXOcXpm41HWHLXNOIjQ5rYquajzTk1m0XzBodIKb3yVLrh409KPl2dViH8tb6sSM2p9Zwwm4WoECtWiyC5XThvXDmKjjFqzayloBuScU/+HGgzqnCiwMm8TUeQEjYeyqHQqfPwWQPV9KSiRhb++STWpGbhMiSFDrfnT6fQ6SYz31EhqKnIqTPysYXcPLUnd5eTFmzNtDmnVh4hBFaLqPFN3nFKb/JLXLzZhLWpil1lo7TsolxW7j/BnGGq7EZLwaIJXrlsBG8s2YcmBG5DstETpdqvYxQuj9ajrpuh+bqU3gem0lD9yqH7hme7MXy35WiFJG6Aj1aZ4dg7Hp3ZKsOtFU1P+6gQZg2uvrzV+SOTueI/qyqs57/1+35OHZBIn8SoVi9G3bqtrycu3WDGs7+ReqKoSe9zzvDOaMJck3F5hG8dniRcKU39yc/WpFHi0nG4DYpdOk+dO5hR3WouDaJoOk4fnMTpNfwQNIRSMWNdSnYezeeMl36v8fykmFCcbjNtxOHWvYLJvuh3//fKsSkaxLge8cwenFShqLLTbXDOK8toF25j/QO+xSxaC0Hl1KSkyR0awJcNyFl6+oedfHrT+CawRtFcrNh3gmV7T9AjIYIV+07w8eqqCuo1kZ5bwkl92mOzCKyahs2qeaXVip06Lt3gx23HADN/yK5yG4Mep9vglUV72J1RgFs30MtFVbt0A7cuKXbp5hSk03z1tb4/qHM0bl1y18zWXw4rqJya3ao1Khk7LbuIGc8urjCdWB+6J0Rw2dguJESGEBdhJ8SqEWqzEGa30C0+osF2KZqfEpfOrBeW+DWPp2f7CN65dozf+lO0fdakZvH8wt11Pn9IcgxT+3YgMsRCmM2CpgnOHNqJ6DZUsDionFpj2Xu8sMEODcxExsfmbwfgsbMHcfm4rv4yTdEMZBc6Gf7oT3U6d3S3doTbrfzmKSyaFBPKo3MGEYILu1UjPjYau0XDYikTurZqggKHu8J+aw2rVjQP43vG8/51Y8kqcnqXO/7+5ZZqo633ZBTw3nVjiWnDubDKqdWDk/q0J/Wp2RQ43Ax68IfaL6ilL0Xroq6KH+3Cbew4ml8hJzE9t4Tr313jV3tUjqNCCMGk3gkV2qb3T2T2i0t81ukrcuo43DqgnJqiHGE2C5eM6cKnaw7Vqy7a7Sf34s+ntv4562AlJsxWr+lrt27wxbrDZBY6CLNZSGkXTn5hIXd+vt0v9iTFBG/NLEVFSlw6Z738uzexupSx3ePoGh9Ol7hwOsWGMaprHB2i2nY6kXJqdURKSUa+wxvV+OcZfbjzlN7k5OUjpSQ8IhJDSn7adsw7xViZF3/ZQ+qJIuIi7Jw9vDPDUmKb900omhWrRePC0RVLCeXl5dEu3EZ2UePr/7XlKSRF/dANyZ6MgirtK/dnsXJ/FleN78qt03oFxXS2cmp15P6vt/gs2VBfSsNo316WqkKyg5Tf/jSO6OhowAw+mvSPX+vdxxlDklpkaSVFYIgIsbLvydkYhuTPn27gqw1HKhx/b8UB7p3dnxBr2/+9UTHBdeTSMV1JjA4hITLEb0/Iox9fiFs3/NKXonWS3C6ckV3b1fu6eZvSuen9tU1gkaI1o2mCayZ2J7ldxalpQ0Lf+76n29z5rD+YXc3VbQM1UquG9QezOZpb4hGYNYfsj8wZhCYEryzaw/qDOY2+xx3Te2NVuUZBz+c3TwDMdZGPVx1kwZajrNqfVet1P3ly1hSK8gxNieWnO0/i1Od/8xks0tZl1pRT88HGQzmc80rT1GGbMSCRu2f2o3NsGGH2tj8VoKjK8QInO7NMp3XBv5c3qI+kmFA+uH6sP81StAHWpGZxxVurfKYe/emU3tx+cu82X7cvaJ3a7mP5zHhucbPec3q/Drx+xcigWKxV+EY3JNNfbHjdtnOGd+bWab3o1SHSj1Yp2gqfrD5UbS5t1/jwNu/QIIidWoeoUDrFhHIkt6TZ7vnzjgy637PAux8fYWft/TOa7f6KwKMJuH9mLxZsP4FumMLIhgRDSty6pMjlNssWOX2XK/py/eEqMmxL7ppGSpwqYaSAR88eRFp2Mcv3najQPrFXPJN6BUdOY9A6tZhwG8vumV7jOYUON1mFTq8o8cZDOdz1efWlz+vL9P4d/NaXouXicOv8d2kqOUUuXC4nGjChZzzCkx4SarNg1UQFzT7dkDh1g283HCGzwImzhoCiyU//yvWTunPfGQOa700pWhy6IfnTxxuqOLQvbpnAiC71D0ZqrQStU6sLESHWCmUYeneIZNPhnEaH9seG21h//ww1DdmG2HUsn1MrTWdP7BWPW5esrEPQR2U0AVZNw2oRhNktRFtsZBY4qj0/WuWsBT2ZBQ6+31qxVJHdotEnMSpAFgUG5dTqgaYJHjt7MJvSctmUltvgfnKKXOiGxGpRTq21IqXEpUtK3DolTp1fd2RUOWfpnhM+rqzKTVN6cMu0XtgspuajTdOCYu1D4V8So0N55oKh/O1/G721/Jy6waAHf2iUkHtrQzm1evLEgu2NcmgAGx84VYXyt2I+WHmAv3+5pV7XvHnlKE4ZkEheXh6AN/laofAXUkr+8tnGKu1tpaJ1XVFOrZ5ojZwy3PDADGLC1VRRa+HgiSKW7s0kxKohBHy86lCdpxM7x4bx+pUjCbFaVLSiosnZ56MM0sRe8Vw3qXsArAkcyqnVka1Hclm4LYNQm8Yd03t725ftzmD1wbqN3K6f1J2oNlS3KBiY8s/6S1gBXDgqmafPH+pnaxSKqpwocPDEgh0UOKrqiS7dc4I+932nph8VVZn94u8Nui7EqnHqwI7cNKUHgzrH+NkqRVMz74+TeGdZKm5D1qui+erUti1FpGg5vLZ4H5+vS6vxnBnP/sa9p/dnWr+2H3GtnFod+ea2ify07ZgpmFU6BSklDoeD15Yeqva6gZ2iOZJTzBfrDvPcT7t49qJhSl29FTGocwx3z+rHqMcW1vmaEV1iOXNoJ95bnopF08qKfloEzpISLJogMqIIq0VUPO551YRACIiPDKFzrCovo6iZv53WlxFdYnHpEofb4K8+1tV2ZxTwl882si4I8mKVU6sjQ5JjGZIcW6U9Ly+PzekFLNvn+8l8nUcjcu0B8/jQh38MqqmA1sCS3ce54q1Vfutv3cEc7797Y/nvNaOZ1rftP10rGo7NojFzUBIAS/dkVjn+3EVD6dk+kp7tg2NdVzm1GtiUlsPiXcc9SbJmomzpU7QQAgE4HSVM7RXHrCGdWbo7s0qeSGU+v3l88xivqDNrGjBVOCQ5xvudsHjC76VHGcSQIDGj0UrbSl91XceQoGmat114+tCEOVKzaALdkHSODQuqpFlFw7n49eWs2Fc1gOmysV04a2hn73c0GFBOrQbOenmp3/oa0z2OT24cpxKuWyB3zujDZeO6MObxn4kKsZLvcNd6zQsXD6d7QkS976VC+hVNQXXVrD9YeZAbJvegWwO+q60V5dRq4H9/GM/POzKQ0vPUDR69PpCYryUOB1JCgQvmb06vtq9V+7PILXYRG64KO7Y0/rc2zbsOUReHBmBTifOKFkS3eN/an3OGdaJjjG+H11ZRTq0GRnWLY1S3uBrPKX3yzjdsNTq1S8akUOjUiVW6sy0OXwvrtVFdteof/jSFvh2DS5ZIEXguHtOFF3/ZU6X9hYuHB8CawKKcWiPQDcmvu0wppKjIcN6+ZjTrD+bwws+7q5z70apDfLSqYpTke9eNYXLv4FDObslsefg0/vLpBtJzSzhtYEf++cPOBvd12vOLaR8VwoLbJ9M+KsSPVioUvvluczo3f7CuSvuXt0wIgDWBRzm1RvDiz7t9OrC68u3GI8qptQAiQ6z8+/KRfL/lqM8fh/pyPN/B4Zxi5dQUzcKbv+/32R5iDc4ixMqpNYJrJ3Vnf0YuOcVuSnRz3aw+fLomjU/XmEmT2x+ZqSphB5B3lqXy0LfbGnTta1eM5JT+iWieqFiForm46LXl3nShyvz7t728eImaflTUwm+7jvPQN1sRAqyaQEOiCcG2owUN7vO0gYkq8CDAnD28M6tSs8grdiOROFwGa6r5sajMTe+t9W5r5cLzS0P0S9ssmgAp0TSBzWJB08BSmi6iCXNbE1g0EAgzBcCQ7DiaX+29e3eI5JvbJqkHoiBlVLd21WqRfrPxCNvS8/g2yL4fyqnVk/u/2sLBrKJ6XzeuRxx/P30AYXYNTQi6xkcEVe5ISyc23M4rl42s0Fbi0vl41UEKnTp2i4bdatY3MwyJUy8r5imlRDdAlxLDkOZr6baB1zl9svpQjcU+G8LujAJe/W0vf57Rx6/9KloHfzutH6cN7Fht+lGE3UKwTR4op1ZPfvrzFH7ceow/frS+XtcZBgxOVtqPrYlQm4WrJ5YpnBuGxGUYuHWJWy/bdukGbkPi9lRIdxueV097qfPbn1nI7z4UHxpD/6Robp3W0699KloXYTbfo7AHzxzANRODS6EflFOrNyFWi8+CkLVxbZCVf2hrTPrHL6RlFwfajApEhVp5/YqRQRsQEOys3HeCi15fUe3x7EJnM1rTclBOrQH884Kh3DmjD99sPML61EykhIHJ7XzmiZSSll3/KUtFYLnwteV1Dv6JCbNxzvDO3np7w7rEEh9hx6oJrJYy0eLiokKEEMRERSLKrblVXFcz98vW28rk2ayaOQ2qUKTnllR7bPfjs7AFaSFi5dQagEUTpMSFc+u0XuTlmWKzX2+t/sdvYKdozhuR3FzmKfyAlJISl17n83OLXby9LLWsYanviNa8PNPpRUerBG1F4zh7eGdmD0mi99+/q3Jsye7jnNwvMQBWBR7l1OpBWnZRtUoSNbH1SB7DH/3Juz+1b3veuHJU0D5JtWT+9eueRiVfl+eq/64iJsyGxTMiEwIM3Y0mBKEhdpxug282HgHg0rFd6NcxirOHdyZaFZJV1AG3brAj3XdkbGg162zBgHJq9SAyxEq7cBvZRVUrzNaHRTuP49YlQfy9a7GM6V6zLBqYqRwAbo+Sfpe4cI86vxnlqHu0QgsdbvKKXV7lfsOQuHQd3ZAIoXE4p2yN7sOVBwF44Out2CyCUKuFEJuFyBALhqRCxO2/Lx/JSX3aE2rTVF5cEPLNxiPcXkOg2tvXjGZCz4RmtKhloZxaPYgNt7P+gVMrtB08eoIpz1e/WFsZlWTdshndLa7J6t3tPpbPjOcW13qeS5e4dDf5DjeZPtIf//D+2gr7ux6bpdbZgohBnWqu8PDovG30SIgkPtJOuN0SdA8+yqnVAyklLr38E7lECFh0x1jCIyMxDNiensc1b6+uto9vNh7mwlEpQfdFC0Ze/mU3//fjria9x+zBSd6RoyI46NE+0vvgJaWk0KmTmlnIGS/9DsDe44VM+WfZMsna+04hPjJ4JNuUU6sHV/5nFUt2Ny7P6O7PNzO+RwJdqikVoWg7bK9mvaOxfHnLBIar4qEKTFm2yBArgzrH0D0hgv2ZhVXOGfnYQgBCrBoL/3wSKXFt+7dHObV6cPWEbizdk4khG97HwE7RyqG1cp78bjuv/bYvYPc/55VlTTZFqmhdfLL6IO+tOOB1bBZNsCfDt2Sfw21w4ESRcmqtnbUHsjjv1eWN7ifEqpmSSPW45tkLh9Iuwk5UiJWoUBt2q0bXNv6FUjQ9STGhXPL6CiJCLPzjvCFBNbWkKKPEpXP355trPe+da8cwvkd80Ky7tnmnVuSse65RTVw9oRsWTXiSaE0NQICv16fh1g2iwuxEh5mh2JeP68ppAzv65b6Klsc9s/pzz6z+Dbq2tKhsdHQ06w5mc+4ry+rdR3puiTfx9pcdGVwwKqVBtihaN6E2C8vmnsyhrCL2HC9gw8EcPlub5j0+oWc8H1w/NujW79u8U5vcu713qubHrUe58b21tVzhm9cW72P24CRvkEhpmHZCpJ37ZvZiQJcO/jRbEQSM6NKuyjTi6tQsLvh33WYWZg9J4uftGZw6sCMxYSq3LRgpdLi59M2V6D7WRPz1QN/aaPNOrZRlezMb7NBKmb853Wf76a+sZs6wTvzfBUNVQrWiRnYeK+CjtemE2O0YhsRtSJy6gctt4NQNfqmHruj8Teb38futR9UaW5DSLsKO3aJRbFR1YMEaZR00Ti0ypGnf6tcbjvD1hiN1Ss4OthDbYMUwJD3uXeDXPqf0aY8AM5Vk53EAvrp1ol/voWg9JESGsP3RmQD8b20af/1so/fYvV9uZuOhHGLDbcSG24kIsWC3aEzsldCmg0WCxqkNSY6t8jTr1g3eWLKf4/kOSkNAZKVRvPQ0GNKsl6Xr5tN16TTkrzszyC9xe8+vi9rIkZwS5dTaEEVON3/73yZ2Hs0nOtRKTJjN++dPFv9tmoqcVVTLGUOScOkG//fDTk54FPo/WXOoynlDU2L5ug0/CAWNU/OF1aJx89T616I6lFXE9nRzwX9671g0AVkOwYPfbK3xum9um8iQ5NiGmKoIINmFTu78dAOLdh5ncu8E3Lon8R5TKmttHStk14eV904nMTrU7/0q2i6hNguXjOnCsbwSnl+4u8Kxy8d1QUrz4fzaid0CY2AzEdROraFMfrp+osadYkKZd/tk4iLsTWSRwt9k5Jcw4clfSIoN5VBWmUZjTcn3fROjcBsGxU6dfIebk/q05x/nDSGi3NR3+ehHhaIp+NMpfbhpSk/6P/C9ty232I0AZg7qSO/Etl0hQjm1BvDCxcP4dmM6IHG63Czfn41Lrxp9dN2k7tw3u39QLNZee+21zJs3jw4dOrBlyxYAsrKyuOiii0hNTQXoLYRoJ6XMFuYH8gJwOlAEXC2lXAcghLgKuM/T7WNSynea+70AzNuYjtuQFRxabezLLMCqaQhPfbTfdh1nwlO/oAlT+UETgJSeGmmatz09t7jGhP4rx3dlZNd2hFjNWmp2i8V8tZp12tpF2OkcG9b4N61o1ZS4dE4UOjlR4OBEoZM/z+jDBysPcCzPwbeeahDfbDzCD3+aQt+ObdexKafWAOYM68ycYZ0B88nbkJKnFh7g49UV56/f+n0/b/2+H4B+HaP46taJbbYkxNVXX81tt93GlVde6W176qmnmD59OnPnzkUIkQ/MBe4GZgG9PX9jgVeBsUKIOOBBYBQggbVCiG+klP6f36uFayd1Z0TXdjhcOkUunWKnTpFTp9jpNl9dOobhUd/3pHdIpDnFY1Ta9yj4Swmfr02jxG3Uy5Z3lx/g3eUHajxn6dyTlWMLYk57bjE7j1UvyyZEWbxAQmTbnjFSTq0R3PnJBr5cf7hO5+44mu8zl6StMGXKlNIRmZevv/6aRYsWle6eAM7GdGpzgHelGYWzQggRK4RIAqYCP0kpswCEED8BM4GPmv4dVGVYSqxf+yt0uPnAU2LGn9x5Sh86qvW3oOaK8V2576st1R4vHwA3f3M6V47v1vRGBYigd2pSSnYey8cwzKeZ0qmj0rDp33dn8tC32xrc/x9P7sVfTu3rP4NbEceOHSMpKal01wV09Wx3BsoPa9M8bdW114iu6961qtLXlsSP24+zYOtxrJpgYGI4W48V1X5RLbx9xRBGpMR49wsLGi+e3BI/O0XNLNuTyaVvrqzXNc56zhS0Nlq9U9txNI+Zzy+p0GbVBL06RHrXMbTS9QwhMIwyRRC3IasV//QXw7vENmn/rQy/DVWFEDcCNwKkpLRsmai/frmjQdedObgDnaJDiIuw0yHKTnSolXC7hbhwG0kxamSmgKg6Vklfee902keGoAVBmaJW79SyCpxV2tyGZMdR/5f9iLBbGN09jlMHdPSskUgKi4qxaIJxvZMYnBxTeydBRGJiIunp6aWjNRtQKpdxGCjviZI9bYcxpyDLty/y1beU8nXgdYBRo0bJytGEzR1duPVILpvTciuspUnTTm6c0oPNabm4dIM19Qj//3ZzmbrI2O5xfHLT+CawvCoqMrP1MDg5pkL+7SnP/lblQb17QgRfrj+M7qnUPmdYpzYdvNbqndqEXgnse+J0/rsslcPZxVg06JYQgSHN5Gq3J1napRu4dMMjSSQ5Uejg6w1mRNCApGjchuEtzVAdhU6dRTuP0ycxisx8B7nFLqShM7prDANrqUYbjJx11lm88847zJ07FyAe+NBz6BvgNiHEx5iBIrlSynQhxA/AE0KI0mJhpwL3NLfd9aXYqTP7xd+b9B4JKllfUQcW/vkkThQ4ePr7nd7E6/2ZhTz1XdlsQXykncm92wfKxCan1Ts1AE0TXDepe72ve+Hi4VXacotdXPWfVWxLz8OqCTQhKHC4K5zz+uKKtbR+2XWCf/xU1nb/GQMaZE9r5pJLLmHRokVkZmaSnJzMww8/zNy5c7nwwgt56623AKKBpzynL8AM59+DGdJ/DYCUMksI8ShQWjr8kdKgkZZMmN3CK5eN4Ledx73rsiA867Pw/oq6B4dM7p2A3aLxs0cDUhNmwuz8zelcfzBbFQdV1Ep8ZAjnj0qmU2wY8zcfYdexiiO3CT0TAmRZ89AmnJo/iQmz1ail59YNCp06T8zfzubDuWxLr7q4/ui8bVwzoVtQzF+X8tFHvgMUf/75ZwCEELtKHZQn6vFWX+dLKf8D/KdprGwaNqXlkFXo9E4/excOPSFnj84ZiATWpGazYLOZ/1YdlZO7y5/68/YM5dQUtSKl5Jr/rq7yMA7w2NmDKChxEx1mbbNTkMqp+WDn0XzyS0wNx9L8DpdeNoXp0g0m9k5gTPc4/lJOQLQ8pUK2T507mIvHdGk22xX+xfCo6DtcBkUuN//6dQ+pmUVM7duexOhQ8kpc/P3L6kOp60rP9hH06xhNdJiVyBArbyzZzyuXjWBYSixRoVYi7NagekhSNBwhBP+7eXyVADqA+77a4g39f+PKUQzoFE2nmNA25eCCyqll5Jfg0iWGd42tvKOSuHWDH7cd4+1lqX6758r9WcqptVI2Hsphzr+W+jz2+57q5bLqS5e4cL66dWKFSLa/zx7gt/4VwUe/jtGkPjUb3ZBehZHsQiffbDziFYm44d01AJw1tBMvXlJ1Kaa1EjRObcvhXM54qekW85+7aCgzByZhswgsmmhTTz7ByrK9J/zepwAsmqgwBXkwq4jBD/1Yr342P3RqncO5FcGLRRN0iA6lgyc5f0KvBM4dkcyFr5UVol28+zhOt4Hd2jZqQQaNU+udGMnATtFsPVK/BNNQm0aYzUKYzUKo3XwtcLirREne+clGtIuFVz5L0fq5eWpPbpjcnZd+2cO8TUcY2CmGMd3jkKWyWLJMJkt6Qvkr7HuOL92Tycr9ZryLhBrX1OpCn8RIVYxW0WAen19RTCKnyEWf+74rO37OIC4b27XyZa2GoHFqIVYL82+fTG6xi5veW8OKfWVBdZ1iQukUG4bbkBQ63CRGhxIfacdtlNZPM8xtz7RldY7xjo83cMfHG4gJsxEfYScj38FT5w0mIsSKYUiGpcSqOmqtDKtF484ZfbhzRp8G93HawI6c9vziRtvyt9NMZZozhiS1WQ1RRdPgdBt8vi6NZ37cRWaBo8Zz+7ZyFf+gcWqlxITZ+PjGuiexZhY4+OOH68kscJjyWQL6J0WzPT0PiyawaaKKQG1usYvcYjPQ5LYP11c4VrlQqaLt07djFPufPJ33Vhzg45UHkMD2o/VXsvnnDzu9r3ufOB1LGwscycnJAeghhNiBOai9FtgJfAJ0A1KBC2ur9KAw0Q3JG0v28fvuzGrXgH+6c0qbK0UTdE6tvvyyPYPl+3yvreie0VtduWN6b3+ZpWhlGBIe+LrmIrL1oee9C4iPsLP2/hl+6zPQ3HHHHQB5Usp+Qgg7EA7cC/wspXxKCDGXWio9BMTwFsqJQkeFpOtSEiLthFgtHM4pZsZz5gzCF7dMYEQbSRdRTq0WLhydwtgecTjcBk63wRVvrSS7yFWvPlbdO927UKsITiyaYM19p7ArzXxifnHxwQpT4A3h1mm9/GFaiyA3N5fFixcDZAJIKZ2AUwgxhzLptHcwZdOqrfQgpUxvbttbKh2iQln8t2ms2HeCfIebghI3BQ4XBQ6dj1ZVFAQ4nl/zlGRrQjm1OtA1PgIwi/DVx6ENTYll1qCOtI9S62gKU+rK3imKEpfeKIf23R2T6Z/UtmTZ9u/fT/v27UlNTe0mhFgPrAXuABLLOaqjQKJnu7qKDtU6tfLVHFoCzWFLrA1O6xPNf1ek8cWGo+QUu0mIsJEUHUJ6XpkjC9fcTW5Pc332yqnVg1CbpcKa2IZDOZxdTR4TwGuXj6SjUlMPWvZkFFDi0nHqBvd9ucWn+kx9uXtmvzbn0ADcbjfr1q0DOC6lHC6EeAFzqtGLlFIKIeoVOtqaqjn4AyklxS6DvBI3ucUu8krc7DlexPO/pnrPyStxE2bTOKl3HNvTC5jcK46BSW1nXU05tTpS4HAz6MEf6nXNfV9t5s2rRjeRRYqWypGcYiY89Ytf+hqaEsuXN09o82oiycnJJCcnc+DAgUJP0/8wndqx0mlFTyHZ2io9VKC2ag4tAX/Z9PWGw9zx8YZazxvfI57nLhoWsAfupv43UE6tjlg1QZe4cA5m1b3A481T286ah6JuLNubyaVv1L1o4/r7Z9Auwt6EFrUOOnbsSEpKCgcOHCidq58ObPP8XYUphn0V8LXnuM9KD81sdosiLbu42mOXjOnCgKQouiVE0CUuvE3PICmnVkdCbRYW3zXNu5+RX8KYx3+ucl6fxEgGJEXz0FkDiQ1XP1bBRmxY/f7N316WSpe4cKwWgc2iYdUENquGTdM8bQKrZiZa55e4GdM9rs0oP1TmpZdeYvjw4T2EEJuAfZjVGzTgUyHEdcAB4ELP6T4rPQQzt07rxQ2Te3Ci0MGS3Znc9b9N3mOVA0PW3HdKmy1npJxaA3lv+QGf7buOFbDrWAGJ0aHcc3r/ZrZKEWgGdIrm29smcc4rS+ukHPLCz7vr1f8FI5P55wVDG2pei2bYsGEA26WUoyodml753JoqPQQbadlFpGUXk5HvICOvhOP5Do7nO5jUK8FnftrVE7oR34ZnB5RTawCZBQ5e+mVPjefMGpzUTNYoWhqDk2PY88TpFdqkNHMaT+Tk4tYld365k1X76x8B2RhlE0XbY+uR3GoL1PZsH8H0fh1Iig0lITIEqybokxjFjAGJbVqbVjm1BpAQGcLLlw5n+d4TFDucfLHhaJVzSqMib5jcnS5x4UzslUCP9pHNbaqihSCEwGoRhNksYIP/Xj2aFftOoGkCi+cH5sr/rKqxj5/unEKn2LDmMFfRSujXMZpzhndm3qYjuPSKMwN7jxey93ghdotGmN1CuEe79rmFu7FZBAmRIfyyI4PXrhjJaQM7Bugd+B/l1BrIGUM6ccaQTry7ZJdPp1bKG0v2e7eVRJailIgQK9P7J3r3dxytOdz/179OpXtCRFObpWhlWDTBcxcN47mLhgFw4EQhu44VcCSnmAe/MRVsnLqBs9jwSvdV5qb31rLvidPbTIStcmqNpEMdEqvPHtaJqyd2bwZrFIEkPbeYZ3/chQSvSr+5Xabe73S6kIDFYjXV/IETBQ7WHcypsW/l0BSlSCnJKXKRnlvC0bxi8zW3pNxrMXuPF1a4ZlyPOPp1jCbUZiHUphFqs2DVBD9uO8bl47q2GYcGyqk1mgk92rHp3sl8vOE4TyyoqrMG8OyFw9rUl0bhm/u+3MLPOzJqP7EBHM93KGWaIGftgWy2HM71jsDKowlTFqtjTCh9EqOY1CuBMLuVU/p3oEtceLUyfddP7tHUZjc7yqk1konPLCPfoVd7/I8n92LBlnT6dYymVwe1ptaWeeGS4czfdASBWc1BCIEAhADNs2726/Z0vt50rN59j358oXd7yV3TSIkL95fZilZAZoGD815dVqEtJszGbdN60SsxklFd26misR6UU6uFVfuz2HAoG+lZgy1ditUECESNDg2oECW56aFTiVZfvDaHWzd4e1kqucUuBJheDLwOzdw2NyJDGl8H7UShUzm1ICMhMoR7ZvXjyXKq+7nFLh5fsN27/9vfppLcLrzNlSSqL8qp1UBOkbNC2fOGcMaQJAwpmda3g3JobZSPVx/isfnbaz+xEdw6rSdJMWH07hDJ0OSYJr2XomVy00k9uemknjjcOhl5Dg5lF1VQrznpn4sItWnseHRWAK0MPEHl1KSUfL7uMNvT8yh0uCl06sRH2OkWH+4tLeNwGzjcuvnqMoiwWyh01jwaq8zl47rw2NmDm+hdKFoaF49Owa0bpJ4oQhMCQ0oMKXEbEsNTc083zH2H04luSDSLlf2ZhezOqFux0H/9ute7Pe+PkxjUWTm2YCXEamHh9mM8/O22KsdKXIaPK4KLoHJqm9Jy+etnG5v8Pu+vOMj7Kw7y4JkDuEZFPbZ5rBaNrUfy+GxtWpPf6+LRKQzs1PJEeRXNy8ReCUSFWskvcVdoT4oJRUrZppOra6Ntisj5IKfIyVcbqoh4Nym/NFEknKLlcdm4rsSG24gKsRJuN8Om7R4tx8Zw+uCOjO0e593/ePUhut+zgNWpjSswqmjd9EmMYvNDp7H14dP49a9Tve3puSUs2V1VGiuYCJqR2vMLd/P2slS/9Xfp2C7MGdoJp6MYmyaIiY7CZhFYNA0BhNktJKpq10HDsJRYNjxwqs9jeSUurn9nTYNksRZs9p3Yv2TXcUZ3i/N5TBEcGIZkoI9yWKXKNCvvnR6Uv0FB49TmzupH78RIip06bs8axz9/2Nng/j5ceZAPVx6s8RylAhF8bE7L5cyXfWvx1ZdrJ3bHbtUocel8teEwVk3jyvFduXlqT2yWoJlkUfhASskvOzLonhDB/sxCn+ec86+lLLunihZ0mydonFqozcJlY7tWaLt1WsV6Z7ohKXbpuHUDly5x6QZuXfLjtqMNim7rqsKug44we+ND9h8/ZxAXjUrBWs5xPXTWwEb3q2j9LNuTyaVv+q7X1yEqhOR2YV51mkfmDGpGy1oOQePU6oJFE0SGVP1IrhjflYNZRezJKEA3JCtrmUZ677oxTOyZoFREgpBeHSJZee90Tvrnrw2ORPv7l1v4+5dbAHjh4mHMGdbZnyYqWjE7juZXe2xa3w784/whzWhNy0RIWXvNp0AxatQouWbNmkCb4ZNip87oxxdS4HBXe87Llw7njCGdmtGq+pGXZ4roNkeJeyHEWh91svxC+e9Jc76n+vD9lqP84f21je6nKUWxW8Jn11zfk5ZAYz7vnCInwx75qUJbVIiV8T3j6ZYQQYeoEMLtVkJtGmE2C6Eehf4wm4Uwz3aozeIJarI0S8K2P79fNX1P1EitgXy06mCNDg3MdbeW7NQU9WPV/qxGJ+M3hpP7dQj6cG2FSWy4ndSnZnM4p5glu46zJ6OA1BNF7M8sZNGu4zjdjctXW3vfKcS30srYrdqpSSl5+Zc9fLLmEDFhNkZ3iyPUZiHEqmG3ahXU0Q2PdHrpvsTzKiuqqFfZ99zHMCpe59ZrH+Eu23uCbnPnM6Z7HJ/eNL6JPw1FUxNma/x6WV2ZPTiJ+ZvTOW9EMn86pTfRoTZiwpUijaIinWPDuHhMF+9+gcPN9vQ8dhzNZ9/xAv67NLXefSZEhhDSjN91f1OrUxNC/Ac4A8iQUg7ytD0E3AAc95x2r5RygefYPcB1gA7cLqX8wdM+E3gBsABvSimfaqzxJS6DZ37aBUBadjFbj9Rck6oUqybQRKnorCk2690HtNLjpt1onnNEuVchoGt8OKWikFaLhkuXHMwqqnK/ygmSitbJ4OSYek//Hc93UOhw4zYMipw6x7PzKHLqWOyhpnKNy2Dh9mMs3F4xp3H+5nQAPl+XxufrqiZ1b37oVCVgq6iAlJJBPkL8Q6waD581kIGdYugUG0pEiJUQq9ZmR/x1Gam9DbwMvFup/Tkp5f+VbxBCDAAuBgYCnYCFQojS+vP/AmYAacBqIcQ3UsqqOi/1IMxuYeODp7I5LZcNh7IJs1spcem1huqbTquiM9MqOK+y7aN5JY0xEYDt6Xl0mzufJ84ZzKVju9R+gaJNoBuSLUdyvVOGmhC4DUmIVSMy3AbSxhfrD1dxaHVh5b4sThmQWPuJiqCh+z0LKuz/47zBXDQ6+H5vanVqUsrFQohudexvDvCxlNIB7BdC7AHGeI7tkVLuAxBCfOw5t1FODczyC5N6JzCpd4K3rTRUf9uRPC5/ayUlLp0ij37j6YM70iUuwjPFWHHa0SjXVjrl+MmaQ4010Ut1lWcVbZN/fL+D1xfv81t/d57Sh24J4USFWpnWt4Pf+lW0DS4b24UPyuXO3v35Zu7+fDOx4TZ+v/tkn5HdbZHGvMvbhBBXAmuAv0gps4HOwIpy56R52gAOVWofW9sNdF33Rsw0hORIWHRHrbepkbmndGVrer5ZcqZ0Ga101C7hi/VpfLn5RK39nD0kkYKiYv5vwRaEgMtGdybcDzlNjaExn62iIoYhcRlmXqNblzh1g7OGduL33ZkUONw43QYu3aDEpeP05EHWlRX3TCc8xKKqPCiq5esNhys4tPLkFLlw68EjdNxQp/Yq8Cjmz/yjwDPAtf4wSAhxI3AjQEpKij+6bBQWTTCkc1kIqiEl327OYGNaHlaLqJNDA/iqUmHI3GI3fz2l7VWdDTZ8hVY3hv5J0WxPL3vYaM1RaIqmxTAkx/JLOJxdzB0fb6hyfOnck+kcG9b8hgWYBjk1KaX3F1oI8QYwz7N7GCjviZI9bdTQXrnv14HXwcwraWn5Ru+tOMD983bV65prJnYjKsRqTmsiCbNZuG5SD7+oT/iDlvYZtyaK6lmWqDbKOzSAkY8t5LUrRjIsJTYodfwU1fPkd9t5Y8n+ao/vSM9TTq2uCCGSpJTpnt1zgC2e7W+AD4UQz2IGivQGVmFO2PUWQnTHdGYXA5c2xvBAsbcO9a/eu24Mk3u3bwZrFIGmU2wYux6bRYlb90w9GrgM6ZVa0w2P3Jqn7eeth3l1Sc2aoZW56T3fSduXju3CE+eoun3BykWju/D5usNkFTortP/11D7cOq1Xm41urI26hPR/BEwFEoQQacCDwFQhxDDM6cdU4CYAKeVWIcSnmAEgbuBWKaXu6ec24AfMkP7/SCm3+vvNNAf3nt6ffh2jmPvF5irHTunfgTevGh0AqxSBxO7Ji6xMdqGTSf/4pd5FZuuKShUJbnp1iGTd/TMAOP2FJWzzjPJDbRbeX3GAhMgQZg7qGHTOrS7Rj5f4aH6rhvMfBx730b4AWFD1ipbP7mP53P7xhipTQ5VZuD2DbnPnV2hrSlkjRcthT0YBc17+3W8OTBNgSIgNt3H52K7YLBpWi8DpNth5NJ/bp/dmgCoWqvBw7ojObJtv/j6VF1+fO6sffzipZ6DMCgjBEePZQI7llbD2QDa3fLCuwX2Ud3JPnzeEC0cHPvhF4X92Hs3364jM8ARH5hS56NsxihkDErFqAosmgu7JW1Ezv+06Xm0Vkbosl7Q1gt6plbh0DucUI6XE4Tb4y6cba1TCbgzP/LRTObU2yuwhScweMpsSl86JQieGp2afw22YyiFuA4fLIDsvH6cusdhCcLoNPlh5gI1puTX2/ceP1vts3/34LFVXLciQUrL3eCF5JS7+vWgvP26rGFX9h5N6Mq5HHHERdmwWjd4dIgNkaeAIeqd22vOLOXCiqrRVQ/npzilEhlqxaAKrpmHRBHbP1JFVlaJp8/S7//tmuc+cYZ2wqBFb0PHKor0+FZMm907gL6f2ZVhKbPMb1cIIeqf2+NmDuf/rLWY+tUf7UQiBISX7jvuuKOuLS8akMLxLO7YfzSfEqnmFlUtf24XbSYxW+UZtnafPG8L//biTjHxHk93j+YuGcfZwVWMtGDl7eGf+/dveKkFCO47mExdup8DhDhrlkOpQ9dRqYN3BbM59ZVmV9thwGyUuc0qpIR+fzWKO3kJsFmwWQdf4CF65bAQJzZxkq+qpNR2HsopYcyAL3QDdMNiens/by1L9eo9PbhzH2B7xfuuvJXx2qp5a3dh6JJddx/K585ONPo+3xPV7VU+tBTCiS7tqoxf3ZxYy+8UlDUq+dekSl657AwuO5Tn4ZsMRrp3UvVH2KloOk5/+tcnvsWBzul+dmqJ1kFXo5KyXl6Ib1T9R+0oxCRaUU2sg6w9m+01N4vaTe3HNxG5+6UtRO27d4K3f9/PkdzuY0qc9nWJC0T2BHW7Pa9m24W0rL3ZdJoBNWc09b7v/bF38t2lominXVlpVwmYRhNkthFhbhiKNonlx6YZPh7btkdMIt6ufdPUJNJBzRyRz7ohkcnJzceuSsIhIsgqdnPb84no7u0vHdlVh2s1Ir79/591evOt4DWc2H8ntwoiLsLOpXCTke9eNoUt8eACtUrREEqNDSX1qNi7doHe57/ItH6wj3G4h1GohxGZBNww0IZg5qCNTg6iqg3JqjUQTArtVEBFiJb/E3aDR27gnf+aD68cysVdC7Scr/IrdqtE5Nqys7JBBlYrpdSpTVO5YQ0jLLiYtu7hC2yerDzGhZwIWFTWr8IHNorHtkdN4dN52Plp1kEU7fT+gfbz6EGvuO6XZ1+wDhXJqfqRjjPkENedfS9l4KKde1y7amaGcWjPR1CovUnqmMD1OTjfMiugFDjeFhYUYhsQaEsa7yw+wcPuxavuZtymdeZvSOW1gIq9d0SSxE4pWTEZ+CWMe/7lKe4eoENqF2zl3RGcsmqBfx+igcWignFqdKBWndeoGbs98duk6S3ZuEbohCS00f7w+X5dWb4cG8NnaNO49vb+ahmwDCCHYdDjHZ+RsQ/BnHqWi7RBqs9ApJpQjuSUV2nOKXQzsFM3MQR3pGh8RIOsCh3Jq5Xjr9/08Oq/RxbgbRJe4cKQE5dPaBqv3Z/mtrx1H8+k2dz6dYkJZOvdk9eCjIC27iMlP/+pzutvpNvh153GuOVGknFqw43QHpjpsXISd5y8ahqbWTloV7yxL5cFvmq/YRKjdoh58FBQ43Hy94YhPh3bf7P6kxIUzvEssHaKCs/6ecmrluHlqT26e6lvRenNaLpsO56B51EasmqBduJ28gkJchsRmD/XW0ipyuHnyux11vm9WoZNV+7Po0T74dNqam42Hcrjz0w1EhlgJtZkh8QOSookOs3nXwkqDPrxh/J71MUOa1YYNj07o1xuONJmdd8/sR2SIhZmDkmgfFTzrIYraufn9tSzZnenz2OXjunq/18GKcmp1JLldGG7D4NuN6fxnqe9qsxN7xaMbktWp2fXqe8ld00iJU6HbzcFLv+ypIn+2yo9ThdUhhBkpi5Te6UMhQOAZdglz7daQcEr/RIZ3icWtSzYfzsHpNnC4Dfp1jKZvx6gmt1XRsqkpP/F4viPof0uUU6sDTrfB8Ed/qvW8pXtO1LvvMd3i1JN4M/Lvy0ewL7OQIqdOkdPNBysPEhNmIyrUTMnIyCth4fYMAEKsGmF2izliKx2tGXhGbfUL35fSvM67U3akyrkLtx+rNipy+yMzCbMH95N4sHP5uC7Vfj8W7czgivHdmtegFoZyanXAbtV46MwBfLnhCBZhqjuUKjwUO1w43AbbjtatblFUiJWIECtH88yIpVWpWfS7/3vOHdGZy8Z2ZWTXdk35VoIeq0WjT2IUh3OKOZJjEBNm48OVBwE4Z3hnuidEcO3E7uXy0CS6UTbtWD5MX5fSGxnr0g3PX8U2tyFxug3chqfNreMyJG7djKCtC6cOSCTEZuG0gYnKoSkYmhxbpe3hswZy5tBOxEXYm9+gFoZyanXk6onduXpiVW3G7Jxcvtp0jIcX7K5TP/kON/kOd5X2L9Yd5ot1h1n45yn06qCmmJqSfccLOPmZ36q0f7n+cLXXJEaHYBFmgU7zgQY0z4ONRQjPNt4inqE2QbjdgqaVHjenHw1dN8sR2azYLJpXo2/xruPYrRq//W1a0K+JKGomxFZV1/HBb7bicOvcOCW4qlz7Qjm1RjL8qd8b3cfk3gnEhtsZ2SWWnipYpMlJiQtnSHJMBUmq2jiW13SlZEpZfs/JyqEpaiXcbmXXY7Poc993FdprKzYbLCin1kium5DCW8sONaqPi0ancMaQTn6ySFEbNovGN7dN8u6XuHSyi5xsPZzH9e/6Lk0ye3AS8zenN6ldbr3lloFStBzcusE7y1IZmhxTwZHN35TOucOPMb1/YgCtCzzKqTWSO6Z2a7BTe+KcwYzq1o4+iWq6MZCE2iwkxYSRFBNWQULLrRucKHRiSHMN7G+n9eW1xXv5aFXjHmIqM2dYJ/5x3hA1SlPUiV93HufxBdt9Hvtg5UFO6tMeq0WVnlE0giGdo9h0OL/e19375WYAokKtvHHlKMap2lgtijs+2cD8Tf4fnQ1PjqZvUgwn9+tAv47RSolfUS9O7teBf18+ktQThUgJ//i+LCf2lx0ZbDmSx7CU2MAZGGCC1537kfevGsZ3d0xu8PX5JW6W761/OoCiabl+Unc6xfhflWF9Wh4frz5EbrFLOTRFvbFogtMGJpJd6Kzg0M4d0Znv7pgc1A4N1EjNbzRGYuu2ab24c0YfP1qj8AfhdivnjUzm241HSG2kqPB1k7rj1g2KShy4DUnHdpGcNUytoyoaxj9/2Mlri/d590d3a0didCid24UF0KqWgXJqdWRPRj7n/GsZQ1JiGpRkXRMv/7qHUwcmMsRH/okicJz2/GK/9DN3Vj/+cJIZap2XlwdAdHS0X/pWBCdnDu3EK4v2evdXp2azOjWbVfuz+PzmCQG0LPAop1ZHTnnW/IFriEM7Y0gSIVYLn69L83l8SHIMXeOCT027JdPQkXdsuI07pvfGZtGwepL0bRaNbzcewaIJSoqL0QRERJivQpilaizCzHkTokxSSxOCDlEhdEtQ3w1FRfomRjG1b/sqhUHXHsjm992ZTOodvLUZg86puXWDP7y/1iuF1JT84aSezJ3Vz7v/zIVDm/yeCv9gt2p8fetEVuw7gduQ/POHnXW6LqfIxcPf+rd80Y93TlERsooK/LjtWLWVrrccySU8xEJidCjtI0O8Cf7BQtA5NaduNItDu2VqT6b168CGQzlYNYHdaj652yya+RRvMZ/Ow0MsNQqUKpoeKc0CsKXyV4ZHkb9LXDjJ7cLQpeT8kcmMfaJqleGmYlDnaMJsFoZ3aUcPNVJTVOLUAYk8cc5gUk8Usu1IHr/vKVPtf8pHhZAHzxzANT4UkdoiQefUwu3WCrlIhiFxGQZur36fR7NPN9u927rBsr0n6vzE/sqivRXmvGuivD2K5ufuzzfx6RrfU8OB4tkLh6nRmaJaNE1w6dguAGTklzDm8ZofuIJpCjvonFplNE0QolkIqcMnMbxLO26d1su7v3RPJpe9ubLRNlz/zhr+ddlwNWILEOeNSA6IU1v45ymE2ixYNQ2LJsyRvFUjzGbBogrGKuqIVat9evGNxfuY1rdDM1gTeILeqZXn6w2HuePjDc1+34Xbj1FQ4iYkUjm1QDC2R7x3tLwnI5+//W8T6w/mcMHIZKLDbHy1/jDZRU7qKKpfZ5LbhSsVEUWDkFLy3ZajbEzLodipkxgdUqM+aWZB02uXthSUUytHIMo2fPaH8YzuFtfs91X45rmfdrP+YA4An61t3OhtxoBE/n56f6wWcy3VoglKCguwWjTaxUZjD2IpI0XjOFHo5JYP1nn34yPszBrUkQtHpdA+KoT2USG0C7cHXZAIBKlTe295Kvd/vTXQZgCmRJai5fDsRUOZ3DuBh7/dxtUTuxEZYsXhNjzVp3VvFep1B7OrVNCuzE/bjvHTNt/FHEuxWQR2i0aIzeJ51QixmiVp7BaNm6f2YsaA4BaoVVQlITKkwujsRKGT7gkR7D1eQE6xE4dbJ8xuUU6trfP64r08saBqZFBTcu/p/RjVLY4RXVTxz9ZAiNXCxWO6cPGYLlWOZRY4GPXYQr/ezwxM0il06j6P3/DuGhVIpKiClJI/z+jDtxvTvZGPvgLTvrhlQtD99gSVUzuY1Tipo/oyc2BHLhiZAkBOkROBZ/Hfk2Dr2TRfhSi3jfdcUS5eoOwaUeF64dmpcL1QgQb1RUrJvsxCz7a5b5QL8y9x6ditWqMk0RpCt7nzeeaCoZw3MrlZ76touWxKy+XuzzdXe9xmEUzslUDvDsFXnzGonNqcYZ15f8XBZrvf91uP8v3Wo812v8ay+/FZ2IJ0naclTUn7IlJNUyvKMSQ5hhcvGc7tH62vcuyumX25ZWovH1cFB0H1P2V0tzh2PDqT4/kOHG4DQ0p0o9yflBjl9i/1Q7h+a+H8kclYgnh098ka/9ZIawxf3jKBmDAbye3Cg3JNRFE7Qggen+9buWb3sQIuf3MlNovg+YuHExNma2brAktQOTUwC0KmxIVzOKeYiU/9EmhzqvDvy0cyc1DHZrmXEtctY94fJyOlxKWbU41SgiElJwqczH5pCfkl7maz5ZxXlgFw45Qe3Ht6/2a7r6J18eyFw/jnDzuxWzVW7c/ytn+5/rB3e8azv7Hq76cEwryAEXROrZSYMBu9OkSyJ6Og2e45ICma7CInl4/riiaEKcfkGSHqhqRjTCinqki3gCGEwG6tOFo9mFXUrA6tPK8v3se+4wU8c+GwoHvaVtTOxF4JTOyVwLxNRyo4tfJ8fOO4ZrYq8ASdU3O4dc5/dTmbD+fSPiqEhMgQj9af6WDymvAHbFt6nscGgz+r+mktlmKnzmuL95KeU8K6g9kBtWXh9gxW78/iFPWwo6iG8T3ifbY/d9FQerRXgSJtng0Hc9h8OBeA4/nNn2XfJS6ck/t1YO/xAuweYWNDQnSolahQ9TTeEvh24xGeX7i7yfq3CLB6hK1LS9NYNUFMmI0HzxxAVKjNW34mJtxG51hV+FHhG5duUOTUeefaMfy++zhvLNnvPXbnJxuJiwjhpD7tA2hh8xN0Tm1sj3h+vHOKNyzbbVQMFjGkxG2UBYy4fbR9vfEIi3f5LvtQGwezijj7X0t9Htvx6Ewlm9QCOG9kMglRdjLyHAhh5pIVO3WW7MnE4dIJt1vQJQ3+DugSdE8Sd3mO5pWwMS2Xm6f29MfbUAQBwx/5iQJH9bNLh5o5jaklEHRODfCqnxc63DjcBpoozUXCGxFpTkfC3swCnpi/nfKyf021Drdyf1bQPVW1RCya4OR+Vaf7bpjSo8J+fomLv3+5hdWpWaTnlvjl3sv2ZrJ83wmklNx8Uk8m9AreYo+K2nnwzAH87X+bqrQHc3pOUDo1gGN5Jc1aH6suxAdAe1LRcKJCbbx4yXC6zZ3vtz6X7M6ssK3URBQ1ccGoFE7pn8jwR3+q0J6aWUjvIC1dFLROLS7Czvkjk5m36QglruZViKiOM176HYC3rhrF9P4qMKCl8o/vd/BqHWvlNYRXLxtBmN3CkOTYJruHovXzzcYj/HfpfnokVA0GiQ0P3gfkoHBqTrdBn/u+C7QZdUYL4iTols4X69L87tB2PjZT1dJT1AmXbtD77xV/y7YcziW5XRhp2cVYNMEXN0+gfVRIgCwMPEHh1KyaYPaQJOZvSg+YDd3iw7lxSk+smsBqEWb0m2a+WjVBmN1CbLgNixBommB/ZiEWYWo8apow2z3bmhBEhliV2kQA8NfaWXn63/890/p28H4vSpw6eSUuxveI545T+qiCoQovGZUitsd0j2NK7wSm9GmvRvYegsKpaZrgX5eO4F+X1n5ufomLwQ/96HcbUk8Uce+X1QuQ1pe4CDtr7ztFCRc3A6VKI7d8sJaF2zN8niOEKYLcEAwJP++o2u/q1GwuGduFpBgV0q8w6Rwbxr8vH8Ef3jdrqa3an8Wq/Vm89ts+Nj98WoCtaxkEhVOrD1GhNlKfmo1uSG7/eH1AR3eVKc1dEsCt03oph+ZHCh1u/rt0Pxn5Dt5dfqDCsbo4rD96/j0sWsURdelo2+LZdzpK0IQgIjzM/Lcsd0zzjMjCbBaiQ610iQ9XDk1RhdMGVpXRy3e46TZ3PpN7J/DInEF0T4gIgGUtA+XUqsGlG351aOcM78yIru3Yd7yAyBCrV1twXI94prSBMP5rr72WefPm0aFDB7Zs2QLA3/72N7799lvsdjtATyFErJQyRwjRDdgO7PRcvkJK+QcAIcRI4G0gDFgA3CFlQ8dAdePXHRlc8/bqao93igkjKtTKxF4JhNks3krWVk0QYtWYOSiJjjGhdbqX0ttUNBYhBPNvn8S6gzkUO918svoQez0Fa5fszuTyN1eydO7JAbYycCinVg2hNos3nFp6kq+/XHeYuz6vmhNSF75cf7iC0Ggpryzay9aHTyMipHX/U1x99dXcdtttXHnlld62GTNm8OSTT2K1WhFClAD3AHd7Du+VUg7z0dWrwA3ASkynNhNo0iifYpfvAp2lHM4pBmDH0Xyfxx+Ztw2rZqqD1NZXZW46qQc920fi1iUhVo2zhnUK2vwiRd3pkRDJvV9sZmNabpVj5wd53b3W/UvaTAghsAg4e3hnzhrWyTvK0qUkLzcPQ0J4ZCTrD+Zww7trau0vKsTKjIGJ9EiIYEz3+Fbv0ACmTJlCampqhbZTTz21/G4hUOP/NiFEEhAtpVzh2X8XOJtanJqu694RUOlrfZjUNYJN906u0ObSDYqdOkUug+wiF5sO52HRBG5D4tbNhxyXblRQpHEbkq3pBaw5WPWHpjpe+21fhf3nF+5k/s2j6/0e/EFDPjtFYHC49SoOrV24jf/dPIGeQaj3WJ7W/2vaTPS4d4Hf+sp3uPli3eFgS6xNoKJz6i6EWA/kAfdJKZcAnYG0cuekedqqIIS4EbgRICUlxe/G2iwatjCN6DDoGB1C/47mD8WJAievLz1ImN2C1bMGJqUZuBNm0+gcG8r0vvEY0pRgc7kNXl58oKZbVeCWyV39/l4UbY/YcDupT80mp8jJje+uZVVqFtlFLqY/8xvJ7cK8U+Yx4Tb+fnp/4iODJ8RfObU6ct/s/jw2f3uDr++fFM24HnHe/fNGBM8UweOPPw4ggQ88TelAFynlCc8a2ldCiIH16VNK+TrwOsCoUaNk5TWqhqxZSSn5bddxrv5v1fW1uAg7Lt1osjI0V47vyiNzBjVJ3/VFrfe1HmLCbJzcvwOrUstKz6RlF5OWXezd7xgdyl0z+wXCvIAQtE5NNyTP/LiTX3ZkmFFqmhl9JjCj3cxXc18TgvS8YjNSzXPu5N7tGZAUxfsrDpBV5Kr1ftvT89ieXja989+lqQCsuGd6nYMMWiNvv/028+bNA9hfGvAhpXQADs/2WiHEXqAPcJiKU5TJnrYmISOvhPP+vYxDWcW1nnv64I5YNQ2XbvD1hiMUu3RK41eEEFw2tgu3TO2FRRNYNYHFIrzfFatmvgohVKCIwq9sOJTDU9/tqNJ++uCOzB7ciVCb1iYC0epD0Dq1E4UOXmmAMoTbEzSycPsxFm4/1mg7luw+TmJ0qCek23SaESFWBnWOaXTfgeb777/n6aef5rfffqNDhw5eLTIhRHsgS0qpCyF6AL2BfVLKLCFEnhBiHGagyJXAS01lX1pOcZ0cGsD7Kw76bN/wwIygliRSBJbhXdrRLtxGdqUH62smdmd0t7hqrmrbtGmndsVbKysIxLZEfClsAzx74VDObUVTlJdccgmLFi0iMzOT5ORkHn74YZ588kkcDgczZswAGCCE+LcndH8K8IgQwgUYwB+klKXzJ7dQFtL/HU0Y+TiiSztSn5qN021Q5HRzNK+Emc8vqVcf9321hfgIO3arht1q1kiLj7DTLsKOVasaxegoKWZyr+D8sVE0DZ/cNJ5Tn1sMwPWTutM7MZKhQawu0qadWo+ECL85tVJ5K5umeeWM7BYNgfQk22re6UoAPFOYErzRkqXlbAyPQkXX+HAiQ6zeUjelr0kxYZzqI8GyJfPRRx9Vabvuuuu820KIbaW5aFLKz4HPffUjpVwDNOvikumQ7MSG29n44KlkFTrRDYP/Lk3lg5UH6Rwb5g3rr8y8BuQy3jSpC/ecMbixZisUAPyw5ah3+83fzSKhB7OK+NtpwbOOVp4259Ryi1xc/+5qVqdm+7VftydkuwT/KfpnFjhYee90c+qxVFminBKFw617tzWl/9csxITZiAkzK5A/fs5gHj9nMDlFToY98lMtV9adCLuFT1cfAmHe79QBiUodRtEgsgqdfL/1aJX2f/26l51H83nzqsCkhwSSNufU8kpcfndoTUlDarrdeUof7jildxNYo/BFafj0tiN5nP5i/aYnffHsL/sr7L9w8TDmDPOZuaBQVMt7y1O5/+ut1R6f2rdDM1rTcmhzTi0lLtxn/pdhmMnSpVOAZdvSW/V6zsu/c6QJVNj9zeQ+qhpyc2EYksxCB6/8upe3l6X6vf9u8eGcPjjJ7/0q2j7Du7Tz2R5ms7B07snEBWnR4Tbn1KpD0wTSgPNfXeZTWqYhtI8KQUiJy5BVoo+qtUOAVdOQmOtqlRmSHMOHN4wjsg2ojLQF/JF0nxBp56lzhyAEdAiDrnFhKqRf0Sh+2HqUm95b6/NYsUunyOlWTi0YkFL6zaEBHK9U26gmpvfrwCuXj1DFIIOIfh2juGxcVyxCkBAVwrCUWCVFpfALo7vFMSQ5hk0+fs+eOGcwye3CA2BVyyConJrVonmnJl26QYlLp9ip49QNnG4Dly759297fQoPN5afd2TQ977vazznwxvGMqGnmlpsSex/8nQKHG5yilzkFLnILnKSU+wip8jJAzWsZ4ApgHz/V1u8+5eMSeHkXrFoAiIjXAgh6J8URVSoranfhqKNERdh584ZfbimkvrNrEEdOXdEcK/PBpVTA/h24xH++NH6QJvhk/LSNoqWgRCCqFAbUaE2Uiqllw1JjuW8V5ehG3WrjPPRqkN8tOpQlfaT+3XgP1cHX5SaouFkFjiqODSA77Yc5YYpeYyoZr0tGAg6p/bMjztrP6kehFg1hnSOIsRm80oiARQ63WVq/oZEl7DxUE6Nfd331RYm9kqgc6wqDNkaGJYSy94nTgfMH5nTX1hCRj2mpEv5ZUcG3ebO547pvblzRh9/m9kq2LlzJxdddBGYSfobgB7AA8C7wCdANyAVuFBKmS3MHIgXgNOBIuBqKeW65rc8MNRUnujZH3fx/vVjm9GalkWbd2oHThSSlm3qNgI8dNZAftmRgd2ioWmCYqdOsWcassjppsipU+h0U+jQyS9xU+Bw4XQbVPcw7nAbrD7gn3U6p9vgaG6xcmoBJDWzkEvfWEGhU0cTZvI8mAn0UkrvfumGwzN17Q9e+Hk3/ZOimDko+KIh+/bty4YNGxBCbAPGYmp+fgnMBX6WUj4lhJjr2b8bmIUpr9bbc/6rntegICbMRupTsxn/5M+kV4rY/n1PprcK9nvXBc1H4qVNO7WsQicn/XNRoM2owoCkaHq0jyApJpSbTupJQhCVhWjpLNqZ0axpHecO78yXGw4jJYzoEsv4HmpNFZiOWUT2gBBiDjDV0/4OsAjTqc0B3vWIZK8QQsQKIZKklP4rV98KePXykTz0zVafQXBLdmcipQy6xP427dTahdu4b3Z/ftmR4V33kMCq/Vk1X9jEbEvPY1t6Hnsen4VVVTludtYfzOaT1YdYsjvTK3+VFBNqjsaQRIVYKXHruA2JrNtyWYPY/fgsbBaNZy8a1nQ3aZ1cDJTqriWWc1RHgUTPdmeg/AJlae29ap1a+WKyLQF/2NIjRuPdKwYz4qnfqxx7+4oh5Of7rtYeCJrrs2/TTk0IwfWTe3D95B5Vjh3OKaagxI3dqiGlmXxdOr1UXqOxfJVrKWH53kz+78ddjbbtwlHJyqEFiHNeWValrfIUTnPQ+++mVvO3t01icHLrr8rgJwRwFnBP5QNSSimEqNdjRlMXk20puH2sj3y+4SiDkqKwW4Prd6ZNO7WaaMi61Z6MAjrGhPHMBUP5y2cbG3X/T9eksWjncVPv0VN3y6y5BZeM7sL1k7sH3bRBc7Hwz1NYvi+LmDAbdovmCeSR6IaBWzeVZtwepZnyf1XaPEFAZdcY6AZ8tMp3mZrqOPPlsqfsXh0ieeSsgQzoFB2sJW1igHVSytK6TsdKpxWFEElAhqf9MFDeS/msvVdbMdmWgD9sOmNIUhVx7W83Z9CpXST3nN6/0f37k6b+Nwhap1ZfDENyyrO/+bXP6iLlHl+wnesmdUf5tKahV4coenWIarL+nzhnEA63gcNlUOzSeXzBdr7deKRO1+7JKODSN1dWab9wVDJPnjsES9sXto4DHi+3/w1wFfCU5/Xrcu23CSE+xgwQyQ229bTyvHzpCF6+1NwudLj5x/c7eHf5AV5bvI9t6XmM6hpHfKSdqFArkSHmX6jNQpjdQp/Epvu/EAiUU/PBf37fzyPztjXb/aya4Kc/n+RZ95O0jwxVqvwtFKPciM1lGOi659WQ/P3LLfyyI6P2ThrAp2vSeGTOICxa21WkKSwsBIgGvijX/BTwqRDiOuAAcKGnfQFmOP8ezJD+a5rP0pbHxkM5HM934DYM8krcdI2PYHLvBJbszvT+Vcd/rx7NtH5tR/xYObVKGIb0WcqhMbx9zWi6J0RgtWjYLIIQiwWbVWC3aGpdrQWgG5ISl06JSyevxE12kdOT4qEz9/NNnCh0NrtNGx841VO3z6zhFwwPOREREQAbpJTeMD4p5QnMaMgKeKIeb20+61ouqZmFzPnX0mqPD0iKxmYRuI2y2AEwYw4Gd45mfM/45jK1WVBOrRKpJwr9Hh156wfrvE/3lRd0/335iKDMS2opbErL4ayXq/9BqA82iyDEaqHA4a72nGvGJTMsOZr4mCjC7BZCrBpSgtswPIn65rpaTLiSzlLUja7x4Tw6ZyA/bc9g8a7jFY4FY1kj5dQq0aN9JN//aTIzn2983axSCp16tcc+W5OmnFoA6dE+kkGdo9lyuGK4sd2qEWrVsFstRIZYiAq1oQk8wSGge6YcDY9D0nXzgaU2RZH/rkjz2f7ZH8YTYbcSEWLBkObIMcSqqWAhRa0IIbhifDeuGN+NC19bXuGh/M5PNnDHxxsA+OKWCUEhnxW0Tm3L4VzOeKlqbkdz8+ZVowJtQlATGWJl3h8n+7XPXcfy2ZNRwLYjefzgmco+Uegkq4ZpzAv+vdxnezA+aSsaxuJdx9mTUVChrfzE0LYjwaEJGbRObe/xgtpPagacuqHK0bQx+iRG0Scxils+aLwU4ZDk2MYbpGjTHMoq4rTnF1NUaUZoaEosfRMjuXFKD7rGR9SoF9mWCFqnNmdY51qfgD9adZB7vtjcJPe/cFQyt0/vrRxaK0dKybvLD7AxLQeBOVV4KKuIVak1r8v+eUYfrp3UHbsneEhNMyrqi0s3OO35xew7Xlih/exhnbhrZj86BamGbNA6tbpw8egUEqNDyC9xI4T5k/Xm7/trVduvCxN7JZCWXczh7GKvSG7/jtEqQKCVcCiriF93ZrDjaD4frqx7svU/5vRl1sAOqvK1otG4demzFt9XG47w1QYzL/K5i4ZyzvDk5jYtoCinVoncIhdDH/mxye9TunhbmdIipoqWzeSnf23QdXd/vZOHv9vDWUM74XAbHM93cCCrkHHd40mMDqVzuzAuGpUSFCH8isYRZrfw9a0TAcgpcjLskZ+qnBMbbsfpNoJKKks5tUroTalgWwe6zZ0PELRlI1oLX9wygc/XpmG3atgsGkLAa7/tq9O1RU6dj1dXLBZ6KKssKjIyxMqZQzv51V5F2yYmzPcMT+VCov+6dASzh7TtaGvl1CoRF2H3OVqa8exv7M5ovuCSyvPkipbFiC7tKkSSZRY46uzUfHHm0E706RBJbISd0we37R8dhf+59cO6BSUlRLZ9PVHl1OrIMxcO5envd+I2DFbs819ydmy4jR/vnEKHqFC/9aloGqSnUkOpkLHhqe6gGxKLEHz/p8lkF7q45I0V9ep3aHIMx/NLyClyYrNoLNl1HJtVw27RmNAzngtGtV11eYV/WLC5qgrSfbP7M3NQRzpGhwaVcpFyanVkSHKszxLppTWCDhfCrBdqT9gelhLLV555cEXLpXQauDmoXNyxPF+uP8yk3gkkxQRnJJuidl77bW+F/QtGJjOtX4egHfErpwbkFrsY+rDv4JAuceGE2cywe0nFopEScLt1UrOKa72HzSJoHxnCH0/u5Q+TFU3MtRO785+l+wNqwx9P7sXJ/Tooh6aowua03Aoli0qZ1rc9T58/JKhTRILWqUkp+WxNGr/syKhRwPhgVpFf7ufSJV/eOpHEaDXN2Bp44MwBPHDmgBrP0Q3J2CcWklngP8HjK8Z1RQgY2bWdUhJR1Jvp/RNJzy0J2hw1CEKn5tYNNqblkpFXwl2fb2rWe4994mcAwmwWfrtrqlpHa8Us3nWcK/+zyq99LvzzlCat86ZoOwzqHM2MAYn8tO1Yhfb7vtoCwOc3T2Bk17YvieWLoHNqT363g7d+D+y0UrFLJ6vQqZxaC0NKyadrDrF4dybFTh1NCG+hVgEIgVc1xN/liQBOeXZxhf1V906ngxrZK3yw7mBOFYdWnt6Jkc1oTcsi6JzaVeO7kZpZSIlbR0o4mlvCvszmC5/f/+TpQT3f3ZI5XuDg7s+bRhatvmiCoEqYVdSPockx3HlKHz5efZD03JIqx79af5grx3drfsNaAEHn1LrEh/PW1aO9+7ohefqHHSzYnM6hOgR8NJale04wqXdCk99HUX86RIWy4PbJ7M7IJ9xu5YZ319S7jznDOjGhZzxWTcOiCTRNYBECiwaaEDhKitGEIDQszFu6xqiQIiCJDLFxSv8O6uFHUS1Wi8Ydp/RmQKdon9/TB77eyqVjugRVKH8pbd6pGYbk+YW7mLc53cwx8hTr1A3pzTfSDYlb90jJSDPKsTT/yN9c/tZKJYXVghnQKZoBnUxdxnl/nFShPFG7cBtuXeIyDNx61YKvAF9vOMLXHt29xvD0+UO4UOWnKaph/cFsdmcU8N3m9GrPWbj9WFDWamzzTi2/xM2Lv+wJtBkVKM2BGpoSS/+OZmCAEAJNmE/zALOHJDGuR9sqs97aGNQ5xvsAUuLSefHn3WQVOgm1WbB6RmFGudFW+RGXSzcflFyGZMmu4+SVVF8N2xd3/W8Td/2vLJDpw+vHMqGXGuEr4Jcdx7j27aqjszHd4xjeJZYQq4We7SOY3j8xANYFnjbv1GLCbWx4YAbH8x2e6RzzCdutmz9ALt3A6TbMNsPApZtVh6sTHPYnGw/lVKv4/96KA1wyJoUHzxxIqE2Vpwk0/1m6n1cW7a39xCYip9gVsHsrWhYTeiZw7cTu7M7IZ8nuTG/7qv1Z3qrX3/9pctDUT6tMm3dqYCpVx4ZX1Tz7YetRbnpvbQAsqhsfrTrE7MGd1BpcM/P64r08sWCHX/sMtWn8+tepRAjTOanSM4qGEmqz8MCZA/hlx7EKTq2UqBAr8REhAbCsZRAUTq06hqXE0jU+nAMn/JNgXRvvXzfWnGLUhBlE4JluNLdFuW1wuA1CbZrKWwoAmw/nNfhaTZhTyZXXY0tcBuOf/MW7P7l3Av+6bASaEITZLFhUqRlFPbj+ndUs3J5RpV1NUwe5U0uMDuW3v00DYOuRXDLyHUgpPetbZtRaqE3DkOaXqL7rIpW59cN1XkcmPDlQgjLH1icxkhcuGU60j8J/iubjpUuG8+LFw1i+7wS6IbFbNJy64ZmqLpuydpW26bLC/ocrD3KisGaVkSW7MxnyUEVptlCbxm9/m6ZUZxS1MrpbnE+n9uX6w8qpBdqAlsLATjEMBK757yp+3Xm8Se6RW8u6yOGcYtamZjOtX4cmub+i7gghmNCzYT8OQ5JjeWz+Ng5nF/uMkKyOEpdBVqFTOTVFrdx0Uk9uOqknf/50A1+sO+xt/2xtGi7d4OE5g6qtsdbWaRNO7cZ31/BjDdn1rQkVFNIyuP2j9XyzsfGh+XXl6gndAPh41UFun96b+MjgXRNR1J1/nj+UWYOSKuSqfbXhCOePTAnatfg24dS2Hmn4GkhLo1tCeKBNUABFzsZNNdeXt5elerezily8dMnwZr2/ovUhpeSJBdsryP79+/IRDOwUQ0pc8P6OtAmntnTuyX7rS8qKeUeGAT/vOMZtH6732z1qIjKkTfyTtHrevKpMdUZKicNt4NQNpv5zEVm1rJc1BLtFY+6sfgiBKgqqqBMOt8HHqw5WaPvrZ5toHxVCXISdyBArNouGVRPoUnLtxO6M79n2c1/VL2glhBBYBFgoi0YLtzfdlGCP9hGcPawzWw7nMnNQR6JUkEjA2Xu8gOnP/ObXPoUAq0cyy2bVsFk0r3Mc3a0d0/sn4tINAN5fccB7XcfoUOYM66QksxRVCLVZWHv/DLYeyeO8V5cBUOBwU+Bws9+Hnu3vuzPZ/ujM5jaz2VFOrQ6c3C+RT28az4WvLfd73/uOF3LFuK60i6iaR6cIDNlNMBKT0qyp50JS4jYqHFudms3q1Oxqr12x7wQPnaWS8BVVCbVZ6NUh0huh64vnLxqGpgkmBMEoDZRTq0Khw43TbVAas2ZOQUo2peX4/V5nDEnimondlENrYYzqFldnfU4pJatTs5vkgaeUj1cfIr/Ezb8uG9Fk91C0XmLCbOx6fBbgW0Lrp+3HeOLswUSGBsfPfXC8yzpSXYn0puJQVhEju8Y12/0U/mdPRgG5xS7evHIUQpijsT+83zCVmpFd2xEbZkNiOsvSByurJpg7q5/fbFa0XSb3bs8DZwzgkXnbvG3zN6Uzf1NF4eNRXdvxv5snNLd5zYJyauXo0T6CaX3bs96jx1h5FSO7yL/6ezdP7enX/hTNy4EThcx4bnHtJ9YBqyZ4/7qxhDXh+q2ibVOd0LEv+ie1XZm2oHFqJS6dfvd/32z3mzmwI2cO7US43UKozUKY3UKYzfwTAtyGpFt88IbdtgW6xIXz99P7s3L/CQxZNrqS0gwMWVSPJH63Ien/wPdYNcHJ/TqUq7htKs8M7xLLDZN7qIARRbV08RHGHxNm4/4zBuDWDc4e3jko1mWDxqlZNMHQlNhqVfH9zfdbj/L91qP1uubXv06lW3y4+uFqJQghuGFKD26Y0sPncSnLKkIUu3R2H8vnotdX1Nin25A+hQS+23KUKX3a069j233CVjSOnu0j6RgdytG8skrYucUu/vrZRsCM6v377AGBMq/ZCBqnZrNofH3rRKSUfLY2jYMnirzai6WPxcKzeaLAyZLdx71rGlq5Wme7MwqazMZp/7eIWYM68urlI5vsHoraKfSERQvAkODSDbOQrGGw73ghNzZhZYd/XToCi2aO9gAkZrBSp9gw5dAU1ZJf4uJYnoPHzxnEde9UnII8a2gnOkSFcPv03gGyrnkJGqdWysr9WRWKL7Y0LhytEm8DSYHDzaAHfwjIva8a35XZQ4KvUrGicRiGZHAlcezyXDepO0NTYpvPoAATFE6tvErIsJRYnj5/CPszCzGM0krFFSsXf7DyYO2d+oFLxqTw5LlDmuVeiroRbrNw00k9+GLdYWSFdTJz6OTvYKHyvLP8ACO6tsOqaVg85YmslV8tAoumVWjXKpxXdm1pGRwhymYbStfoStuCtZBkW0IIuG92f17+dQ85Pr6fc/61lKfPGxI0D8xt1qkdyipi8tO/BtqMarlqfFfOHZHMrmP5aELQs32EWktrAWia4J5Z/blnVn+fx7MLnTz70y5cuqdaul6W0wjmtKFuSOZvTvd5fW00R8X18vz2t6l0jY9o1nsq/IsQgusn9+DZn3ZVe06H6OARyG6zTi0hMoSJveJZuudEoE3xyTvLD/DO8jI5pD/P6BM0c94tFZdu8OxPu1i8q2rUYuXnDXMUR4VRXGl7dcoOtdE5NqyS9mjZSLFUBECWO2bI8vtlkZe1Ubo+PK1fB1Xmpo2wJ6OAAUnRrDlQVZnm8XMGMbVv8JSzarNOLcxu4YPrx1Vp/3n7sSoLqYGic2wYmgZRITbOHdE50OYEPXsyCnh10d5mvWeHqBC6J0Tw2hUjiQ1XyjKKhnHKs761Sp+5YCjnjUxuZmsCS5t1atUxLCWWQZ2j2ZtRiO5ZQ9PrUcjRnxzOKfZsFTPpH76nShMiQ1hz3ynNZ1QQ0z8pmsV/m+Yt5ioxR0SHs4u59cN1shIXVwAAY3JJREFUfr/fkrumBXWJEIX/+OrWiXyy+iAfrTpUof0vn23kneWpfPaH8dgtWlAscQSdU4uPDGHeHyc36NplezJ56Nut7DrWdGH9lZkzrFOz3UsBXXwkxDdVOSBfa77xEXbW3j+jSe6naLsMS4llWEosj8wZxJ8+2VBBFmtTWi5976sqPNGvYxRf3jKxzanYBJ1Tqy/SM5pz6ZKBnWP48IZxuHSDYqdOkVPnx81pvLgotV59fn7zeKX52IrokRDBxgdOJbPQweu/7UMIiI+0k5ZdzNcb/Fsd+7RBHf3an6LtcySnmAv+vbzczE/d2HE0n2KXrpxasNHj3gV1WnyvC4+ePYhLx3TBorX9KYDWyo9bj/LD1mN8vi6txvMsmiDU6jsc/rpJ3Qm1aRUSqM2gEonDYZa1iY4I4+aTera5HxRF81Pi0mt0aEkxodw0pQeTercnJsxGTJgNezXf3baAcmq18PfT+/PY/O1+6evjVQerVKotxZfjlN5j0vujaEj45/lDGN6lnV9sUpTh0o06q4XohqTQqfs89tbv+6u0LZ17Mp1jw8jLywMgOlqpgyj8Q4/2kex8bCaXvL6CdQdzqhxPzy3hoW+31bmcUmtHObVauH5yD66fXFXb7+b31/LdlvppO249kucXm575cRfvXz/WL30pyrBZNK6d2J3/LK3qlBqDJqh2VKdQ+IPdxwp8OrQQq4bdojFrcEde+nl3ldSUUJuFC0alEBNmax5DmwHl1BrIP84fQoeoELIKinG6DXQ0SlwGDrfufa1vQMkXt0zA7kPhQaukCtEtQSXLNhXjesTV26kN7BSNRRMIz7+PRZSqdggsQqBp8MeP1mO1aDxwWnc6RAVPIqyiaahrapLDbeBwG3y6pvrp9NxiF385ta8/zQsoQe/U8ktcZOQ7PAEh5RJZPcoQpaoRbkOaKhK6+eoyJENTYskvtLPxcD5fbDBHbVP6tKdDtBWX26i3Uzv3lWW8e+0YpvRp3xRvVVEHTh3YscI0jW5I7v58E/9bW/2PQn1G4Kd4Ers/vWk8Y7qrYCFF/dh7vID/Lt1f4/fxnOGdsVkEdquG3WLBbtXwpYYmJUSGWrl2YvcmtLj5CWqnJmXNQqANwZcaRW0IYX7BBnaKZlDnGL/ao2gcxS6dY+VKefiDjtEhdEtQ+WmK+nEoq4jpz1RMsh7TLY7wEAtuXTKgUzRXT+hGp9iwAFnYMghqpwZw/xkDeH/FAYRn2qj8VF+pKKymCe8xr1isJrAIMAwdixCE2G31XmMDOHNoJ166ZHgTvDNFQ5BSsj09n9NfXFLna8b3iOe/14zGZtFqjWz1BopEKXkqRf2ICLGSGB3CsTyHt21VahYXjEzmnxcMDaBlLYugdmpCCK6b1J3rJvkefkspWbw7k2JPlJtRToFENyTHCxw89d2Oet1z/u2TCLVZvKrqSTHB/VTV0rj94w18u7F+uWeZBQ7Oe3WZd13NIvA8EJU9CJU+BOm6zuI9WYCZWN8pNgyrR13fVOD3KO8LwWeeKaYZAxK5Y3pvlQoS5MRF2Fl57yl0mzu/QrshYf3BbGLCbHSIDm0ysYDWQnC/e+B4voMr3lrJjqP5TdL/fbP7M6Z7HEOSY5ukf4V/uWN6b77deITYcBtx4XbsVo34SDsdo02xYb284LBRWq4IFm6vWq26NuqauL09PY8zhiTRJzGq3vdQtD0eOGMAj8zb5t3/fF1ahbzKvU+cHtQPQEHv1HYfy28yhwbw7aZ0lu7JxGrReOzsQUoVvYXTq0NkvfJ5lu7J5LI3V/rVhnE94kiIDOHn7RmcOjCRW6f1Ug5N4eXaSd25dlJ3vtuczs0fVNQkvW92/6B2aBDkTs0wJClx4Sy5a5q3hIfbMENgXZ4oR6fb86cb3v31B3N4b8WB2m8AbDyU493+aVv1T/PRoVY0TSAoDeH3hIVTFspfii9R0tJgEyklL182ghEqObtJOHCikMW7M70J8eX/ff1FSrtwtUaiqJWiSsn/z100lHOGB5civy/atFM7eKKIj1cfNNc6MCPZbBaNV5q5vEhdyCtx+62v137by2tXjPJbf8FIsVPnmR93UuLWSYoJw62bDzwv/bLHb/d4+vwhWDxrbsKzDneiwMmV47v67R6KtolhSP7y2cYKbf06KpUaaCNOzTAkRS6duz/fVEGdurGcMSSJKX3ae0dKpVGRpUm2AkFJSTGagPDwcO95mmeIVX5fgPe60hGZt5/y53n61bTyI7Sy46XnVIemCTqqKc5Gs3j3cd70IXfVUKb1bc+/rxiJo6gQUDJZisYx+vGFFfZHdm1HamYhmQUOQqwWrBbB8JTYoCg1U5k24dRmv/Q729PrngAbFWrFbtHM5ESrhs1iSsmE2LRyDsx8av5mwxFv5FppRFtpNJsmRLWRcg+dOYDE6FBvOkBZBJxAk9LTBlIINKgYKSdAlxKn20z6TmkXRnykUqFoTk4dkMiXt0xg8a5Mnlu4CzDrreUWOckpdlWZ+qmNX3ce91n+A+C968YQG2bHZhXemleagK7xSjlG4Zsbp/TgyXKR12sPZLO2UtXrVy8bwazBSc1tWsBpE07tlqk9+dMnG9AEuPSKysDjesTRPirUoxIiMTyqIaZyelkk26a0XLIKnX6z6aFvt9V+Uj0IFjHSloIQguFd2jG8SzvuOKV3leOl66xu3XxdvvcEd3y8oUH3uuKtVT7bnz5/CBeOSmlQn4q2i0s3asyJHZIcw5DkGE7u36EZrWo5tAmndubQTpw5tPpimrlFLoY+4l/lkMaSEBmC3SKQlE07WjwjudLt0tylS8d0CbS5QUWR083R3BKEEOiGGTRUKplW3b7NovHiJcPRDYM7P9lY+018kBRjThvbrRop7cKZ0T/Rn29L0UbILnKywUeA0sNnDeTycV1V9GOgDWgONM1Uq3a4jUCb4qVTbCjnjUj2jhZLR46ANxJzxoBEerSPDKyhQci0/1tUQbWhqWkfFcIT5wxmxgDlxBRVcboN5m8+QmpmEUdzSziQVejzvNhwW9A7NAgSpxYVamPnY7P83m/lzP76sCktl01puTWe8+R3O9S0YwB44IyB3PrhutpP9BPL556M1ZfirEIB/L7neJXRf3SolfNHpnDh6GQ6RocSE2YLyqAQXwSFU/M3xU6d7Ufz6JEQwb5M309N1TF7cBKx4bayKEdPUErpvjc3TRPMHNSxad6Aokaa06EBnPb8Yv73hwm0i7A3630VrYOpfTrw5LmDueeLzd62vBI3/1m6n4z8Ev55/lDl0MoRtE6tNHlW95Sa2XW0gCv/sxKJWSzSPMdzHuZ0YE6Rq9H3nb+5YsrBl7dMUFWsA8jWI7nMfvH3gNqw93ghh3OKlVNT+ETTBJeM6cLFo1PYfDiXs15e6j02b1M68zalExli5clzB9cYWxAs1OrUhBApwLtAIubSz+tSyheEEHHAJ0A3IBW4UEqZLcxHhheA04Ei4Gop5TpPX1cB93m6fkxK+Y5/307d6X7PgkDdugK6IWs/SdFkFNczNL+xfPuHUbSPtBMbE40mBDaLUE/ZijohhGBIciypT81m2d5MLn2jTJ6twOHmk9WHlFMD6jKR7wb+IqUcAIwDbhVCDADmAj9LKXsDP3v2AWYBvT1/NwKvAnic4IPAWGAM8KAQImBDlHOHd/Z7n1GhVjrHhpESF0bX+Kr1sm6a0oPLxlaMZDyYVcSmtBwOnijyuz2K2hnVLY7Up2Z7/xb/bVqTqZz/3wVD6RoXRrjdQqjNLN6oHJqiIUSH2qq0/b4nk25z5/uMjAwmav3fK6VMB9I92/lCiO1AZ2AOMNVz2jvAIuBuT/u70gzlWyGEiBVCJHnO/UlKmQUghPgJmAl85Mf3U2eevWgYF45O4WhuCY/O28YJT47a1RO6ERtu8yiwl1bCLis7UxqZWBq1WOJwICUcznOxfN8J8muQu3pt8b4qbX/+tGwB+OMbxzGuR7z/36yizhzJLabA4T/JsvL89bOaQ/3/74KhnD9SafcpamdQ5xiWzT2ZCU/9UuXY6v1ZDEuJbX6jWgj1eiQVQnQDhgMrgUSPwwM4ijk9CabDO1TusjRPW3Xt1aLrureoYlMwIMHGgAQbJ98xtsbzMguc3PbpVo7mOSoUDRUCkBJNQFpu4xO3L359hc/2a8Ylc+fJ/i+53pSfbWtlXI94b8SplJKr/ru6QdXMG0JucePXbBXBw6KdFb+X3RMi+O6OyYTaLAGyqGVQZ6cmhIgEPgf+JKXMKz9tIqWUQgi/LA4JIW7EnLYkJSWwagpH8xxc/d5GjuQ2X86SL9SqW2AQQjCuR5xfnVpSdAh/mtaNi8b38lufiuDiH9/v4FUfouwjurQLeocGdXRqQggbpkP7QEr5haf5mBAiSUqZ7plezPC0HwbKe6NkT9thyqYrS9sXVb6XlPJ14HWAUaNGyUAJvz7y7Tb+s9R/grblaR8VwpK7prWYL6AS162eW6b24papZQ7oni8289Gqgw3uLz3Pwd1f72Rgl/bYLBo2iyDEZvFqkYZYTR1STSXRKnwgpfTp0ADGdFdR1FC36EcBvAVsl1I+W+7QN8BVwFOe16/Ltd8mhPgYMygk1+P4fgCeKBcccipwj3/ehn/ZlJbjd4f24iXDOUtFJrV6GuPQynPGS/VPI1CJ+IqaAovU9LVJXUZqE4ErgM1CiA2etnsxndmnQojrgAPAhZ5jCzDD+fdghvRfAyClzBJCPAqs9pz3SGnQSEtjUKcY5s7qx9YjeRhGmc6f2zDIL3F7c9c2peXWOST/9o/W88LCXXz7x0mE24M2PbDVkZZdxG0frg94RFnn2LCA3l8RWNy6QeqJIt5bnlrl2O3Te/PnGX2a36gWSl2iH3/HFLnwxXQf50vg1mr6+g/wn/oYGAg0TfCHk3rW6dyfNx/kug82134iZpLtZ2vSuGpCt0ZYp2hOipx6szu0fh2j+PKWiYTZW8b0tCJw5BQ5+cf3O/ho1aEqx66f1J2k2LAmSU9qzaghQyOxW+un2Xckp5gnv9uOQHDH9N7qh6uFIwMQpbPjaD7FLl19NxS8tnifT4cGcNfMfvX+/QkGlFOrhmN5JYx94me/91s+V61rfDiXtJGyMtdeey3z5s2jQ4cObNmyBYCHHnqIN954g/bt2wMMEEKcLqVcACCEuAe4DtCB26WUP3jaZ2Iq0liAN6WUTwXg7XgJD5BjGfHoT97t5HZh/H73yQGxQxFYQmpwWiqWyDfKqVVDUwo9jOkex6xBHbmoDRWAvPrqq7ntttu48sorK7Tfeeed/PWvf0UIsa2cQxsAXAwMBDoBC4UQpYsC/wJmYOYxrhZCfCOl9G/F1Ur8suMYj3y7jdxiF4OTY5FSss+jxwjmdKBuSFMn1PtalpBf+qp7Evb9nbydll3s1/4UrYdvNx6psH/PrH50iQtnYu8EVdmhGpRTq4YOUaE1RpvN23SE2z5cX68+hybHMHdWf8b3bHuqIVOmTCE1NbWup88BPpZSOoD9Qog9mNJpAHuklPsAPBG0c4AanVr5JP36JpRLKbn27TXefV85aTuO5vu89oxBHbBbNSzCLPRq0USF5PzSCgw/bD/OiUKXWQQWiaYJrBYNi+caszgs/OWUHkzuGefzXs2RKK+S8Vsel43tyiPzyr7+T363g3euHeNTJkthopyaDzYeymHrkTyEMIf4d39et0AQX1g1U3nk7GGdefLcwUH3dPXyyy/z7rvvAnQTQrSTUmZjKsmUl08pry5TWXXGp9yLP5L0swqdTH1hZe0nVsPorjGc0jcBIahRL/L2qd2826WOQ+UGKurCtZO6I4FHyzm2T1cfYkrvBKUbWg3KqVUit8jFnH8trf3EOtIlLpzjBQ6+2nCYBZvTsVq0Cvkk541I5pkLh/rtfi2Jm2++mfvvvx8hBBaLxQU8A1zrj75rS9Kvi9N4Z/XuRtnw4PzdPDjf7OPp84Zw4ei6O9eW7NRasm3BiEs3KuzP35zOP5xDmkx4u7WjPpVKxITbeOmS4Szbm4lhgMRcJymNgist4lm67XK5EEJgt9k8IzuBIcuSdMsXEXXpOmZcRBmfr0vj83VpFdr+e/VopvXr0FRvsdlITEwsv3ucsinG6lRnqKHd79x2ci+Gd2mH1SJYeyCbf/6ws8F97T1ewFu/70eWrq+Vrr8ZVFiLKy5xYBgSi83mbdMNc0bgb6f1JTZc1VRTmOSXuHhiwY4qCf8pcWHKodWA+mR8cObQTj7rEv37t728/Mse7FYNrXTNBIkmBFarxqEs/yzoF7uat8ZXU5Genk5SUlLpbiywzLP9DfChEOJZzECR3sAqzOeF3kKI7pjO7GLg0qayTwjBpN4JgCldVp1Ts2oCdy1J9r4qMNQXm0XjobMGNrofRdvg9cX7qji05HZhPHXukABZ1DpQTq0ePPXdDnOjCfSNV9wznahQKyFWrVWuu11yySUsWrSIzMxMkpOTefjhh1m0aBEbNmwonfuPBu4EkFJuFUJ8ihkA4gZulVLqAEKI24AfMEP6/yOl3Noc9vdsH1ljYFDpCOxoXgmT/vGrX+4ZZrNw2dgu2K0aoTYL549MJqfIiaYJ7BatxWiDKgJDkY8CtjdM7sHEXgkBsKb1IGQgskvryKhRo+SaNWtqP7GZcOsGRS4dp9vAMCQuQ5Kbm4fLkISEhTPz+SUN7vvycV2wapp3u1eHKH+ZXS3NGbQghFgrpRzVFH2X/5748z053QZrDmSRW+TCqRu4dIlLN3C6DfO13LZLlzjdZpvLbeBwG3xTKRy7vvz2t6l0jY9o9PuoKy0hiKW5victgdo+byklP2w9xh/eX1vlWHSolQ9vGMegzjFNaqM/8ef3q6bviRqp1QOrRSO60ijq582HeGB+4wIOAN5fUTbN8M3GI6y7f0aj+1TUj2V7M7n0jfpHQ1o0gc0ivEr7Ns9rrw6RSClx6WYuW+V8M82zBqt5avOVrslahOCkvu1JjA7111tTtEKEEIzs2o6e7SPYe7ywwrG8EjdnvPQ7swcn8a/LRgTIwpaJcmqNxOE2aj+pnrQLt3Hz+2u57eReDOzUep7EWjuXv1l/h/bdHZPpn1T3J8+WMBpStB7aR4Xw81+mctI/f+XAiaIqx4ckq9+Hyiin5oNDWUVMfto/6yYNYe/xQvYeLyQ9t4Svbp0YMDuCgT0ZBZzx0hJKXPV/OBnbPY6UuPAmsEqhMKcfF27PILPAweVju/L4gu1Vzjl3RHIALGvZKKfmg9jwlpGtv+FQDt3mzq/2+KVju/DEOYOb0aK2xynP/lbtsX4dzXVNTQhsVo3TB3UkIsTqjXzVhGDB5nTSc0rQBFgsAms5QT4pzarl5qu5dl1SYkYZhYSEmCWMPOd0jQ/nrKGdVEKtwsv29HxueLf6NcCBnaJVaL8P1CdSid93Z7JkT1WppJbI9nQla9RYvrhlAue9usynGn9leayNTVyCpmN0KGN7tD0JNUXDGNApmhun9OD1SukiWx8+jQjlzKpFfTLlWH8wm8vfarhskr/48IaxTOipwnabgxFd2rH/yYqh/DWNjjvFhHpHU0LUX2z4ijGdsVsE9pAQBKXJ/IKu8eGM6e5b91ERvIzrEVfFqX2w8gA3TO6hRvXVoJxaOYalxAbaBABe/Hk3x/MdhNoszOifiKZqTDQrK+6ZzrgnfZcdund2f84YUjUxv66oQBFFfZjQM4FLxnRh+d5MChw6mQUOnliwg5d+3sP9Zw5gYq8EVRW9EsqplUMIwaK/TmXx7uMYnjIihpSeP3NtxPDMU5Wuh/y28xhrDub61Y4V+7JYsS8LgEfmDOTK8d382r+iZo7kVj/6cjZBtKtCUR2hNgtPnmuum+eXuBj80I/mtsPNXf/bBMD2R2aqgrLlUE6tEt0SIpi36Qj/9+OuZr1vrw6RdE+I8AYgWC0aCZF2LmxDNddaC+sOZPts/+UvJ9GjfWQzW6NQgMOts2in77X+/g98z5hucXx04zgsalZHOTVfBGIRNq/YxRtXNomQgqKeDO/Srkrb0OQY7v58EzaL5vkTWDUNqyfp2moxH0TsFg1rab00DT5ZfYicIhc2zzkAXdqF8sIlI+nVQTlIRfXohmTEoz9VqOpRHZsO51DgcBMT1jIitwNJUDu1/ZmFpOcUI4Qwtf08+n7d4iN488pRnnBsWRaWXX4bc/qxsKgICYSFhiGR/Lj1GN9tOVpvWzLyHRUCFIamxPLMBUOaRS5LUZGRXduR+tRsnv5+B68s2suApGgKnTob0xo+zew2dPD8Nm1NL+CUZ3/j4xvHMU5FO3p57rnnAAYKIbYAm4FrgCTgYyAeWAtcIaV0CiFCgHeBkcAJ4CIpZWog7G4qBKYif+7h6p3ah9ePZXzPeBU0Uo6gdWoZeSVM+79FgTajWjYeymHFvizl1ALAsbwSJj/9q3f9bFs9UidsFkGYzUKY3UKozeJTBQJgUOdo2oXbSc8tNkd8msBqEUSGWIPyB+rw4cO8+OKLANuklCM9gtcXA6cDz0kpPxZC/Bu4DnjV85otpewlhLgY+AdwUYDMbxI0TTDvj5NxuHUmPvULmQVO77Ee7SO4bGxXxvVQDq0yQevUEiJDeOHiYXy86hC6lFiEQNPKtPj2ZBRwOMc/pWRK+cuMPqaeX7nvoACvSvvY7nFmbTaPdqCaHw8M6bklDQ4IMUWP3eSVuGs8b8vhPE57fnGV9ptO6sE9s/o36N6tHbfbDaAJIaxAOJAOnExZ+aF3gIcwndoczzbA/4CXhRBCtmSF9gaQXehk+KM/VWn/7KbxxEeGBMCilk/QOjVNE8wZ1pk5wzr7PJ5V6GSEjy9TY3jmp5qDT/52Wl9undbLr/dU1M4X69J4b8UBwMxbC7NZuGlKD68qf6kiv8NlUOR0U+TUKXbpbGrAdGRUiMWjLSKqTGeH2SycOzw4ZY86d+7MX//6V/70pz8NwXRmP2JON+ZIKUufENKA0v+wnYFDAFJKtxAiF3OKMrO6e+i67k2paAnUZsv983bx9aZjPo9d8vpyPrpmGLZWVKaquT77oHVqtREXYefb2yZx5su/N/m9hqbEkhQdyiVjujT5vRQm8zYd4bYP11dpX38wp8F9WjXhVenXDYmUEosmCLdbSYiy06t9JE6XCynBarN5nRrl1mif+2mXd9vwHDQkTOgZz3WTurfZqabs7Gy+/vprMNfSRgOfATMb268Q4kbgRoCUlNYVSXxyn/hqndqujEKyi1x0iFKjtcoop1YDg5NjaiwcCRWTaQ3DDDbJLXZx4EQRzy/cxZLd1T44etl4KIezzhjANxsOo2mC80cmE25X/zRNSVM84boNidupAxWLO+aVuDmaV8KWww1/Uv1lRwZnDOlEx5i2WY5m4cKFdO/enV9//dUtpXQJIb4AJgKxQgirZ7SWjFkRHc9rCpDmma6MwQwYqYCU8nXgdTDrqbXEpPfqbJozKpo5o7rz6ZpD3pw0MEsWLZ17MkkxrTPpuqn/DdQvZwMocem8vSwVh8uguKQEKSVWux3d8CRrexK3e7aPrJNTA3h03jbv9qa0XP7vgqFNZb4COG1gxwoPLO8sS+XBb5qlyHa1hNo0nr1wmEc+y1NjDXOdt2t8eJt1aABdunRhxYoVYK6pCWA6sAb4FTgfMwLyKuBrzyXfePaXe47/0tbW00oZ062ifJohYfyTv/DrX6fSPaH5isi2FpRTqyfFTp3ZLy1hX6Wiff7k3tODM1AgkJw5tFPAnVqJy8Dh1s2cNiGY2CshaFTYx44dy/nnn88jjzzSH3MKcj3mCGs+8LEQ4jFP21ueS94C3hNC7AGyMCMl2yTdEiLY98Tp/Lb7OF+tP8zXG8yK6qXR21eN70q/pGgiQqxEhVixWgRd4sKbtWp6S0K05IebQJRf1w3J0j2ZSMqekkuXMQRww7trKHTqNfTQMKJDray9f0azLvw2pw5hTeXXG0v570lj3tOxvBIOZRXhcBtcVqlg6ICkaK9kmm5Iip06R3JLGm98DUzsFc8H149r0nuUpyXoUjbX96Ql0JDPu8Slc+3bq1m2t8pMaxV2PjaTEGvLkc/y5/erpu9JcDwG1oMnF2znzd/3N/t9x/aIr1CLS9E83PPFJj5adajW8+qTq+aLK8d3JSrUSkmJAwnYbHYMWRYQ4jYMCh06bsPA7Ym6vGtm30bdU9H2+GjVwQoOzW7RCLFp9GgfSVSI1fvgdcmYLi3KoTUnyql5cOsGd32+iS/WHa795Cbgp23H0A3plVJSNA+7jhU0y33eXX6gSturl40A8CrZlP6Zo0FYvi+LpXtOYLdqnDEkiahQJYEU7LQLt1fYd3rSTTYeymFYSizPXjg06PVJlVPzUOjQA+bQAH68cwrWVpRz0lb4/OYJ3m3DkBQ63Xy2Jo1HygXuNBU3f7CuzueuPZCtgocUnD28M2cP78yhrCJ+2HqUx+Zv9x7bcCiHy95cycuXDqdjTBgdo0ODUsBBOTUPMeE29j95Oj9sPcq7yw/Uac7an0Srp/CAo2mCqFAbj81veodWGxePTkHTBBYhCLdbuGZi90CbpGhBpMSFMyQ5tkp7em4J5726HIDTBiby2hXBJ5KunFo5ipw6f3i/7k/PDeUf5w1mTPd4LJ4gFItmvh7Pd2DRBJowQ7qV4nbTk1Xo5I6P13tTL2wW4Ul6DhyXje3C4+cMDqwRihbPha8tr/H41ROC80EoaJ3a5rTcZlEL8cXdn2+u03mf/WE8oyvlqCj8S3aRs0IuoUuvn0dbc98p2DQNTQOrZup1ln8wqUxLiDBUtA0W3D6ZJxZs5/c9FXNhHz9nEJeN7RogqwJPUDq1YqceMIdWHy74d9mT2IwBiareWhOQmtnwfMObTupBfIS9zUpXKVo2/TpG8c8LhpCZ76zwexYsuY3VEZTvPsxu4fUrRvLbruNmoqunqKP1/9s77/i2qrOPf8/VsLxXljMcZ++QhAwCSSAQIBAos0CAsguU8dIWympp6YKUvmW+lJZCSaHsMsIKlAQCYSQkhEyy93Icx3G8Ne497x9XkuVYsiVbsmTpfD8YXZ27Hkkn97n3nOf5PZpA04Q/P60ozwHSVAmReNVCvHXVfKohG/cdxpCSTzdXNCkNEW2OVhVQRIfpQ7rRM9fRLOdsUr8ChvfMwW7VSPMVBrWafcSiCX9feW35bm+lcrO6g0+c2Idbl3TPcXDi4K4d/dEUSc6db6zmP9/uadJ20fjeHD+gS5wsSgxS0qkBnDaiB6eN6BH29s9+sb2JlFU0OWt0kf9iaBjm68L1ZXi8kzv/c/JArpuamuPjsWRLWTUzHm5e/gVg6fYKlm6viNq5/nPjZMarGxNFFLn8uL7NnNpry/fw2nKzTROw+v7TU+7JLbU+bSt8uaWcRRvLsFo0f8kz38jSk59ujdl531u9v8X1j3+yhdtmDEalsEWXVbvbXsk6FDkOK9OHdvP3H4umMbxnDsf2zY/6uRSpzZg+eTx04egmYseBFOWmY0nBoXHl1AI4WhqpIyguyEATpsL7LdMHkpNuQwDlNU6+319FmtXCLScPTMl8k1gzc2QP+nfNZHt5LZsO1HCoxumvlVbn8rBkW+RPaldMLuGO05USiKJjGNA1tL7j3sp6hv36Q84Z05OHLhydMgojyqkF8N6tU/h66yFcemPVY582pk8i0ze35mtrcDoBSLPbWbuvik82lEV0zl0Vdf7lbeW1Ssy4A5n0wEJqnC1XqA7GN/eeYs61WS2qQrkiruSm27jjtMHkZ9r5aushPtt4sFmfnrdyH3efMbTTlqqJFOXUAhjZK5eRvXIBqKxzcf5TX7Wqxi8w88w0TeDyGC1uezTTh3TFoglG9cojP9PGxRM6VxHDzs6jF4/hjv+sos6lt/rbXTm5L789Z2QHWaZQhMeZj33R5Cb8aO6aOZRrppSkzFMaKKcWkvIaZ1jlZSTm0GFbMna3HKzhkYvGkJlmxaIJdlfU+6PrfGoSmgYW0bTNzINqOR9K0Tozhndn5a9P49Vlu1rNHfzX1zt5ZZkZ6agJMzpW8/5WwbBZBC9eN4mB3bJjYbpCAcD8n07l9tdWsXJ3ZZN2iyY4pncuf/pwA3/9dAt//uFoZo4sio+RHUxSO7Uj9W6cbt1fp8rpMWhw6yzfeZjHF27mhmkD0ITpj0zFdOlfNiTcMK0/hpQ4PQYu759TN3C6TRFRl0en3unGpUt0ibneY+DWjbDC+3dX1HPh31pWBYgmc84fxSUTizvsfJ2FHmEOyzgjfBKf8fDnFGTavTcgcKDKGXLbe84YyuXH9SUzxSLVFO1jQNcs3r75BADcusEvXl/F/LWlnDSkKx+tOwBAtdPTTCnpuasnMH1Itw63tyNI2n9BizaWcdVzy1rc5pEFmzrImsQg3Z46QxAtsXbvEW5+aQVuj0FxYQZj+uRjs4iI1UTCoaI2vNzFB+dv4MH5G9jw+5k4bOp3UoSPlJIGt8GRejc3TR/IZcf1parezXH9C/ntu8HTkA7EuBZgPElapzaubz4TSwpYuacSJP6E2eo2BAYkIi9eN4kTBqZ2kmVbmbdyLzsPmQE6+440+KMcs9OsaAGJ1b6hXkuINv9fQJt/fyGaDCX72uoanLh0A81ixTAk3+yooLrBQ48cBz+a3Fc5NEVE7K6oY+pDn7a63V9+eAwnDelKYVZaB1gVX5LWqeU4bLx24+SwtnV5DH9xPb9iSMCrbx3eqbMVuw5zUwRlQ2KBKijadu49cxhdstJ4cP6GJu2XT+5Lhs2C1aLh0Q083vpmHm+NMx8nDe7K8W28oVDaj4po4NENtpfXUlYdekh7cPcsXr1+MnkZtpSad09apxYJdmtkdcymRVny6IHzRplqIhLwSnJJaeo99sxLjTDcjkQIwUXj+7B0e0WTFIynFoWXYP/059vY+sCZKpRfETf++MF6nvtyR9B1Z4zsQbbDys9ONUP9Uw3l1NpAVpqVHXNmAead9+gHFrf5WJ//YjrFhRnRMk0RJl9uLY84p7BvYQaXTixmYr8C5dAUceWq40tCOrX5a0v59I6TUiYv7WiUU4sCX/58Mgedmj/U28ec+RualYU4mml/bjoeftmkYm6YNkA5uhhz1uiejO6VR7XTjdNjUOfUqXF6qHF6WL2nkue/3tlsn52H6vhs00G+2FLeJKVCC0i50ITAIghY9oX+m5WJ1+6tanJMqyZ486bjgxZ8VChC0bcwkx1zZlFW1cCijQe5842mUlnT/3dRygYdpYxTq3V6WL+/yn+xOdoBSe/cmR4Q2q9751JkiGVDSmpq65AS7A6Hf53HMOdjpg3uwqYD1dQ4PdS5dP+5Mu0WagPeB/Li0l28uHSX/0lQETtC3TicOLgrb3y7p9lvlGbVcHkM9IAqDb6+UOfSm6jDhIvHkPzg/75Uv7ciYp5ZvI0/vL8+6DohwG6JbFolWUgZp3bGY4vbdNGJBaEcWiA/fn45UpqBCro/aMVU8fc5VLcumVCSz10zh2JN0Q4cC7pmp7HudzMj2ufml1a0uX/Nv21qm/ZTpBZbD9bwzy+24/QYeHSDt1fuC7rdvJtPYHTv3JQKDgkkZZzaXy46hgc/WB8kqtFcLzDvboQA4dVYN5fxS/XvPVyPy6PT4E3EjiUff38grO1W7q7kkonFDOiaFVN7FKbKzNlPfMF+b45Pf6+YrAC2hqE+E4phRSoSUtE6D324wZ9Q3RI/fXUluiEZV5zHnAtGp9wQZMo4tQklBbx50wlt3n/eyr3c9srK6BnUAr87ZwTdcxyNw6SB8zMCEGDVTCHdbtlp9ClQ828dwR/e+97v0ICwZNRCYbdopFk1xvbN547XV/nbA0se9crL4KbpA7Cpp3AF8JeLxnDSqn0IwG1I7nt7bdDttnurue+qqOOaKf1Sbr42ZZxae5k2qCsnDCz0X9QOVptlSnzy/aZ6f9uO/X+XjuWs0T2jZKmirWwpq+Gvn26hwaNT6zTLz9itGsUFmdQ6PVEdvnbpptTa55sOtrjd6D65SStnpIiMrDQrswNk7kI5tUBSMQJSObUwyc+08+J1xzVrv+mFb/hgXcsXplB0yUrj0knFbD5Qw2MLNvufynxDoJow9QK3ldeYw6XeoAThE9QVgnvPHEZxQQZC4Bc6ViLHbeOyZ5YE1Wf8kkNN3o/vm49LNzhxcFd/5GOjyDRB2hqjIJ0N9Ugg3ZHuzUc08xIJuCGSmAFJPfPSo54Tqej8rN9fxRmPhZdGVHqkga7Zya8iEohyau3k002HWt8oBOU1Th5fuLld5/+slTv91nj0gmGcO0HN6Ww+UN2i4HAgPXIdDOia1Wx42BdRG3hD4au/JwAM82le896AHKl3s+NQLT84pifZDqtS9FeERVW9O+S6Qd2yGNgti+45DmwWwVvf7WVzWTXnje2VMje6yqm1k6W/MOfpQskebT5QzamPfN6RJkVEtkN1AYA+BRmcfUxP3l0VPKIskPfX7Ee2cag5GKGSaJNZSV3Rdib1L+T5aybyj8Xb2FdZ3yRIaXNZDZvLaprtM7p3HgO7pUYwmbqiRQkpJQvWl7Fu3xF/hGVxQUaTXLhI+P53p5Nhj+3P49MhVIDDZuGJ2WN5YvbYoOurG9xsLK3GatGwagKrReDRTV1It27g9hi4Dcl/15Xy4tJdUbHp6oAqE3++cDQ/HK+KyCrgpaW7uPetxvp/o3rlkptuIyfdSl6Gnbx0G5lpVoQwk/uHFeWkjEMD5dTazeOLdvDMV7ujesyrji/BkUKVajsDo+7/b1zPn0oXJUVTpJRsPVjLgaoGNpZW8+hRJbOKch08fcX4OFmXeCinFiZPLdrKS9/sxOYNpff9rdsX3aed358zgh9NLonqMRVtoyXFhlB0zU7DbtGwW82QfbtVw27RsFk0rBaBNHQEkOGw0z3HwaFaF9/uOIwm4Nyxvbjl5IGk2ywpM/+haJkGt87Q+z5scZuhPdRcbCDKqYXJnz7c0PpGUcDT1rwARdTp1yUzrO2EMCfo9YBSNfUuncN1LpxugwaPHtYc3F8XbeWvrVQK+PZXM1KiJpbCxGbROLZvPt/uPBxym2um9OtAixIf5dTC5Pvfnc7BaiduXfr1HXVD8trS7fx7WevBBa0xY1g3xvXNp86l88TCzXgMybCiHGaO7BEF6xVt4ZRh3f2ajLsr6iirdvLuqn3M/WqHf5tj++ajG9Jbk89AlwYNboPDdS70GNyglFY1KKeWQmiCFh1a95w0lZx/FMqphUmG3UrfwuZfV0nOAO48dUCT6EffRW7Yr1seNghkwfoyFqxvXgpl0R0nURLmE4MichZvPsiPnv0m6LpMu4XCrDT2HK4LmVi/u6KOIT2ySbNa/MONDpuFgkwb6d6Co1ZN+Icf3U4nVosgOzPDbPOus3iDT45us1kEVk0jw24hN8NGmpprTSmEEPzrmok8+ekW0m2WZik8B6qcHPfgQrpkpVGYaacwy05Rbjr5GXayHFay0ixkpdnITLOQ7bA2LqfZyM2wxelTxRbl1GKARRPsO1Lf7uMc0zuX7jmOKFikCMUHa/aHXFfr0qkNoSJy7ZR+9OuSSc88BxbNdES+XDWLZuaqaU0S4gWaBnW1tViEIDvbHK7s3zVL1WZTtMiJg7tyojcJv9bpYUNpFeU1Lg7VuDhU4+RQrcv8q3GyYH1Z2CMEH/50KkN7JF+OqnJqYbJqdyXnPPllx55zzxHueXM1j14SPMxc0X4ePH8095w5jO0Ha7nzP6vZeKA6rP2e/WJ7jC2DJy8dx6zRRTE/j6LzkJlm5di+BU3aPLpBnVtn28Fazm3lGmWOHghOHtqNksLkHAFSTi1M9hxu/5NXJEwsKQABl07qy5F6N7npyTlUEG+2lNUw4+HP4m1GUPYcToxSSYr4sPVgDT97dSX9u2RS6zK1SH2apP5Xlx52xZCPfzaNQd2TP1JSObWjqKxzUVXvodbl8U7+m+VpuuWk8er1x3mLiHoLihqS2to6vtlZyfbDLuwWc9jJZhG4dYnTY+B0m6VqnG6z8zW4dbPdY+D06Lj14EMF3+yoAOCiv38NkLJVbGNN38IMZo0uYsH3B5AQ9gUiP8PGsX0LcHrMO+TbTxvMuOJ8/zCjT+9RNNF+hNqaGjQBebm5/srZKnxfcTQNbp1T/mLebK3ecwSA4UU5dMlOo0eOg4w0C5l2a+Or3UJmmvfV+z4jzUqm3UJRXjpZaalzqU+dT9oCjy7YxKML2qfBGEssmiDNqiKcYsHuijp+dFxfrj6+BIfNwqvLdvPCkp2t7ne4zs2C9Y21rX7+2ir+dMEoLp5Q3MJeIF3mjYld/Z6KFrBbNM4d07NJIdCyaic/nTGIoT1yQlZtVyinBjTWH2oPvmRsa5NXrfG9pbHdqmn+9z71dt92mjCXM9OsDOqWxXVT+5NuV09osWDbwRpO/kv0hh5fWrqrVaemUISDpgkevWQsPzlpIL96ew3LdhymvMbJ9S98C0BBpp10mwVDSiya4JoT+nHV8SVoKuhIOTWAxy4Zy2PeYAyXx2Dwr+ZHfAxf4q0r2sYBt54yKAZHVfTOb/1u99/XTiLdrjW9QQm4AYHGqjG98lKvdpUitgzpkc3rNx7f7AasorbpleZ3732PISW5Xt3HUb1yU7Z4sHJqR2GzCH46Y1DchiNPGdqN88f19s/pXXhs77jYkQrYrRp/vWwcN724IuQ2lz+71L/83q1TGFaUfCHQisSnf9csdsyZxYPz1/P3z7YF3SaYpFt+ho2eeek8ddmxKTNkKWQ0a2hEmfHjx8vly5fH24yg9L/n/TZXug7FmaN6UJSbjs2i+QNRrBbBLdMHku2IfvSjT6U/VNmcaCKE+FZKGRPV1cB+0tbP9NiCzTxylFBsMEb2yjETo73DxhZhDi1/saW8VSksiyaw+YaHhFk03aUbPH/NRKYOin8x0I7sD6HoqH6SCETz+3brBjUNHsb+/uOg6394bG/+/MNj2n2e9hDNz9tSP0npJ7X1+6u4/bVVdMlOY3zffH9Uo/RGPPoiH833vqhHs/2ySX1xeQzqnU48hkRYrHh0UzrLpUvcHgOXbuDWDVweg9KqBnRdUu30hLTngzWlQdv//tk2v1yTIjZcdUIJX2w5yLIdoSWJANbubbuAtW+I+mjeWbkvIZyaovNis2jkZ9q5/Lhi/r2kaemj358zgksmps5cb0o6tRkPf8aWwEJ6++HzdlaQDoZVE3619jSrht2h0SU7zayCLEBg3qnrusRtSA5WB6+8fNIQdcGLBVJKtpfXRhQscvH4PmiaWeHaN69m0QQfrSttNZfxjtMGM31ADhZNkJuTjUUI0u2WmDyFK1KT35w9oplTu2/eOu6bt45/XjWek4d2j5NlHUdKOrXMINGE+Rk2CrPSzKczQ6JLiWHgFS6G8prgDqclPIbE49Kpc+kR75sqHTCePLpgM48tjGzudGK/AmaNLmqWM3jfWcPD2r9xCEYFlSiii5SShesPMLwoh+/3Nx9RWLu3KiWuKSnp1ObdMqVN++06VMfBGicXPPVVlC1qzjVzl9OvSybv3jolpRInO5ILxvUO6tT6FmYgpTlPsf9IQ5N1t7++ittfX8XKX5/qn1MLTMVQIdWKjkZKyaKNB7l67rJm6646voR7zhyaUkLY6moZAcWFGRQXZvDH80byy7fWxvx8TrdOvUtXTi1GFBdmtDpX+f7q/dz8UvPoyDG/Cz4hHwkLbz+RAV1VRWtF+/hoXSk3/rtpH3XYNNJtFuZ+tcNfKum4/gU8d9XEpM97VVfLNnDZpL5cNqkvJXe/H7NzZKdZqW7w8JN/f8szV44nL8Mes3MpQjNrdBFTB5/GXz/dSpcsO06PQb1Lp96tt1vUeM78DfzjipgE+ilSiBMHd+N/Th6I25BkO6zUOj1U1XuaKeMs2VaBSzdIRzk1RQjumjmUuV+aOSNCmLJHpVUNLe0SNr4oyeU7D7NuXxUnDOwSleMqIifHYeOzTQdZH2Seoj3sj0J5IoUi3W7h56cNadL2zxA3XDe9+C3PXjkhqXVklVMDPtlwgNeW7QFAevUhpGxUimjMP5JN3ktgSHdz+MhiMTtJe5zaz2YM5vxxvbBaBHaL5pfTylTDjzHFMCRl1U7Ka5zUu3VqnR7qvQE+9W6dBrce1KFdflwxg7tnU1nnRjckdqvGlceXkGGzhJxbS4RcMEVys+dwHb977/ug677ccogGt66cWrJzzdzESMh8ZMEmlu801flNp2rmxvXvmsmvZg1P6o4YL/780Qae/HRrxPs9evEYhDBD+wsy7f4CoV9sLkfztosgr/V1dVg0QU62x58O4CswarU0BpxYjvqzWTQcNi2lJvwVkfPx9wdaLHwLYLUkt5i2cmrAF3dNZ/WeI/jurRsrgQj/e0Fj4rXHMMP+PYaktq4O3ZDY0hz+Nv+rlNQ4PTy1KPyL5uLN5c3avtp6iFOH9/BXv1VEj7bWyfvpqyuja0iYzL9tqpLqUgSlzuXhx88Hv0FffOd0euenp0SZI+XUMIVtwxG3PRrdkFRUHuHtVaX8Yd5aumU70KXk/LG9KC7MwDAkeysjv2ieOLgr107p57/Dz023MbJXbsTHUbTOD47pyTxveY9xxXkIIah1ethQGl4F7I6mOEVFahWtk2G38sTssdz68nfN1jW49ZRwaJDiTm1fZT3Hz/kkasfzzaf9/fPggqPhsn5/FR9/f4B7zhxKhj2lf6KYc+2/Gu9sV+yqDLrNdVP60acgg3SbBbtVo9rp4UidC+EdUjx1WHcGdssK66Kh5tQUsSSYQxvcPYte+amT7J/SV8yjyzckCmXVTl5YspMXluxUmo8x5rv7Tg0pAuvjmRCRZJP6FfD8tRPVPJciodl0oIbhv/6IHIeVd2+dQrrdQrrN/EvG+bWUdmoje+WG5TR8slm6d57MJ0yrG5Kq6mqkhKysLAwJtS4PR+rdVDd4uPKf37TLvgfOG9Wu/RWtE0oENhyWbq/A6TGUU1MkDE9dNo63V+7FatF4f3XTgJGqBg8n/nlRkzabReCwWUizas30TDVBE9Uc4Q2GyrBb+NMFo+mfoMIBKe3UwkXTBBqCYMGHNsPUhMzJceDWDY775cKonPP8cb24dFLqKGvHkysnl7BwfVkzSaxwmPX4Yib1K/SWomkudGxeDPBfGNwuFxZNkJHuaNK+r7KBDaVV/n01YQYm5aTb/Hqkt582mIHdsmPwDSiSheMHdmHeyn2s31dFfoaNw3XuFrd36xK37iHSGeT3Vu/nfxK0eLFyalHEqgluO2UQL32zC6dbp6ohdJmZ1nhzxV4evmhM9IxThGRQ92y+vueUkOs3H6jm1Ec+D7pud0U9uyv2xMq0JuytrOedNuqWKlKD91fv58N1wUtYHc35Y3tRkGnHbtW81UQsjcsWLaDdu+xty3bYGNA1M8afpO0opxYl3vh2D098shm3LrEIs+RMW3hi9lgMKRlfUhBlCxUt8co3u7j7zTXm01VA/pjbMOiVl86wohwa3Drby2tDHqNnroMRvXKbPLVpounTmsfjRgiBzWqWm/El+89fUxq01t4NJ/ZnRE/zmFMHK1UZRcvMntiHY/rk4vQYfLm5nI0HqtlzuJ49h+sor2kaQ/DD8X2YPKAwTpbGDuXUosTtr69q1/42i+Cpy45lxvDkLw2RiPh0HHVDoiMhoFrQ1oOhHVkgQggevXhMiwowoaIfH7owvlWJFcmBEIIRPXP534828n+fbgm5XZcse1I6NFBOLWoM7ZHdptymHIeVJfeeokL348zHPz+R6gY3VQ0e/rZoazMx2HDYW1nPiN981KRt9f2nkaOKgCo6mJkjezRzaiN65vD2zSdgS8KIx0DUlTRKfPjTaazde4Tfv/d9kwjJBrfBxgOhnV1Vg4fLnlnKXy8b5w8SsFk0ctPVhbCjyXbYuOGFb/lq66GoHfOUv3yGw6YhvOo0hmGYSfWaeWEZV5zPg+ePUhJoiqgyslcuX9w1nSl/+tTftm5fFU6PoZyaInzuemM16/ZFruT+3a5KJj/YNAl8wc+nqUi3OHDR+D5RdWoHq1uumL7zUB3XTumnFGMUUadHjqNZ20jvSMLpI7rz+OyxSZmOopxaFHnl+uOYv7aUO/+zul3HOXdMT/ooOaS4cO7YXpw7thdr9x7h3Ce/xGPI1ncKk89+cRLV1TWAmdcogcw0C92ym198FIr2YrVobP7jGcyZv4GtB2tYtPGgf91H6w7wgye+pCDT7s/BvWxSMeeP6x1Hi6ODcmph4tENal26X6xYNyQew6Cqqh6PIUmvF3gMyfCiHP7yw2PYWVGHYUjchoFHl7yzal+rd+0+Hr1kbIw/jaI1RvbKZcsDZ7L/SH2zp+i2ctVzyzAMA2gcfgyFwCxtJKX0vpqRkoO6ZfPoJWPUPJ0iLGwWjfvOGo5HN7j82aUs2VbhX3f0tMjG0mrOG9ur02tEKqcWhDqXh+92VeKwWfzzIWc+vrjDzq8bEkuIelyKjiXHYeOY3rms2nMEMKWxsh1Wc9hG0Ey1oSVaSgcIl90V9azcVck0VbFB0QJOj87OQ3XsOlRHtdPN3C93+PtwKGqcHvrd8wFf3n0yvfI6r1akcmpBuOTpJaxupQO0RIbdgs3SmLAYrlK/3aqRbrMw8Y8LMKTp2F687jiG9FBza/EiM83KPG/Cs5TSq8Bg4NYNXLpBjsPGy99ELrHVFt74yWT65GfQLchciUIB8J9v93BHO9OLLOpJLfl48PxR/PH99dS5zKrHkYTq985PJ82qYUj8WpHh4vIYuDxGk7aHP97I3380PuxjKNrP2r1HOOuJL+JtRhP6FmYwpEcOWaoKuqIFinJD3/AU5TooLjBvigoz7eSm26h362SnWbn+xP5JEzSi/oUEYUj3bP50wWisFoFumPNh76/ebypDAOeM6eXX5Kurq8eQEocjHUNKpJT+YqKGNO/uN5RW8+HaUmqCKEa0xkfrDvDpxjKmD+kW/Q8aRa655hree+89unXrxtq1awG4+OKL2bhxo2+TUUKIlVLKMUKIEmA94Fu5REp5I4AQ4lhgLpAOfADcJmUEdwZR4Oq5yzrydCFRFRoUkXLCwC5N+k1ZdQPvrNzHvsoGdh+u4+PvDwTdr3dBOueN7fxBIqCcWlBuenEF/w3x4wOtjk1HmzV7jiS8U7vqqqu45ZZbuOKKK/xtr776qn9ZCHEYeDNgl61SyjFBDvUU8GNgKaZTmwnMj4HJIXnv1il8uqEMh82CRRPkZ9iRmDcpdU4PP3lxRUzPrwm4+4yhMT2HIrmpc3n45Vtr+WRDGcUFGRhSUtXQXNz4F6cPoaQwkzNH9YiDlbFBObUADtU4mfDHBUQxitvPrFFFXDu1H1bNpyuo+VXcNW+Fa1+la00IfwJ3ZwntnzZtGjt27Ai6zvugVQC83NIxhBBFQI6Ucon3/fPAucTAqW0orWLmo8GDf7pmp2GaLL1Rh02jECNh0R0nUdKlUfxVFQlVRIuKWhflNU4+3VCGEOb0xWMLN2O3aGiaoNorqL5m7xFOGdqNwd2zmTLQQlW9m3S7hSsnlzCqd/LlRyqnFkC9W4+JQwN4f81+3l8TfqTc0bxw7USmDuqcEW+LFy8GcEspNwc09xNCfAdUAb+SUi4GegGBkvd7vG0touu631n4XlujtiZ0JGK4qRfhcNL/LgJgdK9s/n3lmLDtiweJbJuiKUfq3IwLUdzWrZvCpTaLoDAzjb9cdAyT+xeipUhEtXJqAfTOz/CPR9/84op2OaFo892uyk7r1F5++WWAioCm/UCxlPKQdw7tbSHEiEiOKYS4HrgeoE+fPhHZs728jkuea172PpacMkQp7CuiR7bDys9mDGbeyr3UuXR656ejS0l1g4dDNU4O17lx65LSqgYue2apf7+XrpvEkB7ZZDtsba4kkugopxaCPWGG4ceKET1zuPqEfkwZ2IUeLUQ0JToej4c333wTApyalNIJOL3L3wohtgKDgb1A4Gx1b29bM6SUTwNPA4wfP14ePZzX0vDeoX31uPX2P5IP7ZHdWBTUO4xslp3xLvsLfgpW7avl529txNB1NAFpdru3qrB3yDnIPhZNMH/tfg5UNT45/mzGYE4f2R2rpgESl0fSv2tmVLUj1dBo4qNpgttmDOK2GcELdR6pc/P55oMs21HB8183inNfGuDgAGZPLObB80fF1NaORjm1EMy7+YSwtvMN2WRnZyO9UY+6NOdiyqqcTPvzp60cITi+qrIrdx+G3ZBmtTB1UBesnUyMdMGCBQwdOpSysjL/LLUQoitQIaXUhRD9gUHANillhRCiSghxHGagyBXAE9G26eSh3dkxZxYe3QhQhzGrS+sBYtS+v0O1Tn719joO17oorTKrY5cUZtCnIAPp3d4X8epL4zAMcOuGv2q1L8XD7fGYQ9yiock+0rtel2YeXGWIisWPLNjEIws2hfxsI3vl8N6tU6P9lSk6GYs2lXHbKytb3S4Zy88opxYlhC/QA+H/UtPtbb97vuGFb4O2L7z9RAZ0zWrzcWPF7NmzWbRoEeXl5fTu3Zvf/va3XHvttbzyyivMnj2bzz9vUjl6GvA7IYQbMIAbpZS+J7mbaAzpn08MIx+tFo1wUnNKumQy/7bwHcXmA9UcqnV5n7jMvuELBqqvq+Wj9eU8tyQ21bI9UXgCVXR+fvnW2ibvJ/cvZFD3LPrkZ2C1CC44tnfSSq0pp9YKLo/B795bx9JtFfguF75IOCR4dG9wiRCNT2qGpCyKwQaB/Oqttbx8/XExOXZ78M6bNWPu3LkA/OQnP/G3SSnfAN4Itr2UcjkwMtr2dRRr9hzh7P+LXeK2JuDGEwdw68mD2nXTpEhunrt6Aj/829f+919vO8TX2xqrT3y4tpRXb5gcD9NijnJqrbDzUC3/XtIxMkiBXH5cMTUNHqobPJw5qshbTVl22mCRVGFoUTY/ntqPVXuO+BPxzeFFGZX8RkPC7acNUdqgihaZUFLA57+YHnL6Y+n2CjaUVjG0R/LNnyqn1gqDumez5J5TOFLvxieJ5rucCAHV1TUYEtIzMtENycGaBq6Zu7zd5w10pC7d4IVrJ7X7mIrYY7No/HLW8GbtW8pqeGfVPh5fuDnIXpEx4N4PmDa4K89dNUE5N0VQrpm7jE82lAVd1y07jXPH9mJgAk5jRIOUd2qvfLOLu99cE28zQtIjx8GfLhgdbzMUQah1enhl2W7qXR72HK7nlWW7m22T4R0irHPpUT3355sOmqLXKKemaIqUkmFF2SGdWlm1k+oGd6cLOguXlHdqeRmJPVl66ykD6dmJy0B0FnRDUusyh3t3Hqpl2fbD9C3MoLrBzcINZf7KCxW1LhZvLg/7uLNGFZGbbuOrrYf4fn/z5OYfT+3HzJFFprqMN4zf/MMf1m+3amTYrX4bFIpgvPLNLh7+eFNY8/mjeuXF3qA4kfJObebIopDCsbohqXF6KK9x8sD765nUv4DuOQ5/QIghoa6uDkNCmsPhbzMMyW/eWRcV+47tmx+V4yiac9YTi1m7N3wVjb6FGaQFJKyO6JnDun1V9ClI5/FLxtI1O83vfNKsWtBii0omSxELpJQhR5zyMmx8evtJ5GXYOn0B0HBIeafWEhZNkJtuIzfdxrNXTQi6TaiL1OLN5SxYH1oUOVy6ZKVR3eDGZtFCXigVkSOlDOrQBnfP4uoT+lHn0pk+pCuZaVay0qzeQB2FIjHZVVEXcl1lnZtfvr0Gw4DzxvXi9BHJI14cDPUvNUocqnFy7B8WRP244wOOmZtuY9VvTov6OVIRIQTv3HICizeX8/DHm9C9op+bDtRwz5truHh8HzYfqPaWE8IvZtwobCwpykvnpzMGJU0dKkXnpbU6ex+sKQXgw3WlbPj9zKgq0CQayqlFCZdutL5RBGTYLX61C98F966ZqhxJNBndO4/RvfPYf6S+WdrGq8ubB30E46lFW2NhWjN65DhY9IuTkvpipGg7hVlpnDa8e4sls3wMve9Dfjy1X9Ao3WRAObUoUZSbzo45s4LKJu2rrOfURz5v/SBeThvenZx0m18L0KdIsaG0ivvfWYfNIrjppIHkZ9pj+IlSh3PH9GLB92WUVjUgROTlZTqC0qqGiKqoK1KPp68YT2Wdiz2H66msc3P3m6vZczi4hu0/Fm/nrplDkzICMmWcmkc3OO+vX7Fmb8cW+GwL4dxtHal389CFx3SANcnP+JICltx7CgBvfLuH219fFdXjP3fVBKYPNYu8qkARRSzJy7CTl2Fnxa7DIR2aj6vnLmNA1yxsFoFF07B6hbkbaz4GvFq0IO1awHrvqzdi1xpwTN829XV1WDVBrmELeixNw3z1Ssu1lZRxaoakUzg0gPPH9cKqCfZVNtAtJ41xxflNngABLp4QWbkVRcu4PAafbChDj8HTUO98lZKh6FjGFefz6R0nUVXvxqUbON0G//2+tIli/+LN5RGlp8SLJ2aP5exjeoa9fco4NbtVCxq6rxsSl8eg1uXhzMcWx0yzMRLeXNG02sqJg7tyzphWa2Uq2sjhWhdjQxRcDMWkfgXYLBo2izBfrWZ0ao7DxiUT+5Bhs1Jc2DmqliuSk34BFdellFz+7NIWtk5chhVFNqqRMk4tFBZNkG63kG638ORl45qIgHYUY/rkseNQLYWZdrK9ytkNbp0NpdUAnDS4W4fblEpUNQQv89ISS7dXhFw396sdAAzslsXZo3uaCv3eOmkulxOLgIz09Mb6ad51R9di23qwlt0Vdf5hmhtOHNDkQqVQhMu/l4bWr335x8fhsGnYLI3DiVbvcKM5jGgOD1otjcOFNk2LuJJ2Rw29p7xTC+RQTXye0lburgTMfJJ+XTJZ+PMTU6b0eiLQtzCT7Q+eiSHBYxhNaqn5IlAnPbAw4uNuKatpsfZZpAST4Vpx36kUJEnA0GOPPQYwQgixDviHlPJRIUQB8CpQAuwALpJSHhbmpMtjwJlAHXCVlHJFXAzvBMxfsz/kukn9CpLqepNyTu2lpbu4963E1XrcXl7Lyj2VjCtWSiIdhdOj0+A2eH/1/hb7Rqbd4o9qlRJ0Kf3L8SA33YbNkhwXo7Vr1/KPf/wDYD0wEfhQCPEecD2wUEo5RwhxN3A3cBdwBmZx2UHAJOAp76viKBrcOl9tPRR03QPnjeJQrYvCTHvSOLaUc2p1Lk+8TWiV577coZxaB7H5QHXY6RaXTCz2pljgLwBqEb6UC9FkmNFXFNS3rcU7rOh0OtF8w49HbQt4nw4bK3K7dYluGLh1Se/8dHM4M0kuPoGsX7+eSZMmsW7dOkNK6RFCfAacD5wDnOTd7F/AIkyndg7wvJRSAkuEEHlCiCIpZehHkhTFZtE4d0xP3l65r9m6e99aw71vreGUod1CqiZ1NlLOqV03tT/XTe0fteMFjhNLaQ5XPbVoK59vOoguJW7dwO0xX7eV14Z1zHdX7eOJ2WOjZqMiNIGFE4MxtEc2Q3pkc2zffM4d26vd1YJVSH9wRo4cyS9/+UsAixAiA3NYcTnQPcBRlQLdvcu9gMDx2D3etpBOTdd1//efCHSkLb87cwC/O3MAN768hq+2VzZb/4ORXWJuT0d93pRzarFECMGv3loTthpFKIb2yGb8Hz6mvMZFmlXjX9dM5Lj+hVGyUhFIa4LRG0qr2VBazbyV+/j1vEaR6o9/No1B3bNjbV7KMGzYMO666y6uu+66wcCHwEqgSb0eKaUUQkQ02CuEuB5zCJM+fVQazEPnDePdNQf408fbmrTf9p/vm7z/7y0T6ZGT1pGmRQ3l1CLA5TFYs/eIv0yIpkF9nSkkml0nkEhG9s5tt1PzRT0COD0GL3+zSzm1GDGkjY4p3a7kqqLNtddey3XXXbdeSjlNCPEA5tPXAd+wohCiCPAVCdsLBHqp3t62JkgpnwaeBhg/frxMxCfkWNvU4NY5Uu+mss7NkXoYVFTAQxdmseD7AyGFHpbtreOy3l1jYo+KfkwgbnlpRVhqH9Fm3sp9HNs3nysml3T4uZMdjxH+jf/iO6fTp0DlnsWKsjLTXwkhijHn044D+gFXAnO8r/O8m78D3CKEeAUzQOSImk9rzq5DdUz786dhb3/TSQO46vgSuuU4YmhVbFFOLQJKqxridu5fz1unnFoMcNgs7JgzC92QvL58d4tV0BdvLmdgtyx/vo5VM5OvA3N6fG0WzUzK9uX1qJJBrXPBBRcAjADeBW6WUlYKIeYArwkhrgV2Ahd5N/8Ac95tC2ZI/9Udb3Hi0z03jR8c05OP1pUiJQhhjv6E4icnDfDnynZWlFOLgPt/MIIr//kNhmGWH/GXJZESMIcfG8uUSH+5EkXiY9FEq1XQY5UKku2wsub+02Ny7M7E4sWLEUKsk1KO97VJKQ8Bpxy9rTfq8eaOtK8zkma18Lg36Ozo8lgOm8Z1U/qTl2GjW46DCSX5nd6hgXJqgOmAvt9fhdNjYAQo7BteD+VzYLohefTiMf5wa48hqamtQzckNntak3bdG5ZtGBLd8OY0GRJdyjaVK3npOpWCE2tmjixi9f2n8fB/N7F27xHS7RbSrJaoFHttiRMHx2buQpGafLvzMI98vIlhRdnUunSqGzxUN7ib5ao1uA0untAn6YbUlVMD/r1kJ/cFRLYlClsfOBNLEuYkJSr1Lp3R9/837O3/dvk4Zo4siugcKqRfEUteW7abO99YDcAXW8opzLSTk24j22FlQkk+6TYLh+vcVDe4OX1ED3rlJZ/YtnJqwNnH9OTTjQc5VOvC4k+sFWD+1ySJ1jc1IoRAALruQQA2m1n/DMxtfK7It72U+J8AP9lQdrQJQXlt+W5mTyyO6mdVhKbG2XpifrrNwge3TVUajIqEQzek36GBWR1iaI8c8jJs5KbbsFs16l06k/qlc/UJJUlZSw2UUwPMGkT/bGM2faR33lP+9EnYx77nzTVcNL6PelqLMfUunWG//jCsbQd3z+LWl1fg0aV3iBr/sPL0Id341axhSXuxUCQ2Fk0wa1QRCzccYPqQblTWudlbWc/3+46w70jTILeVeyq58NjeTBvUNemuL8qpdTATSgrYc7hZOk1Q3rzp+KTrcIlGRa2Lhz/eGPb2q/aErsk396sdfoV+gIW3n8iArlntMU+hiIgnLxvnX65xetiwv4rv91fx9nd7WbGr0r/u/dX7eX/1fp68dByzRkc2hJ7oKKfWAVz6jyUhBUVbIsehfp5YsruijqkPhZ/DEylby2rIS7c1Gc6udXrQhMDm0s1hat+wNo3D2yr8X9Fehv/6Q+pceqvb7ayo5dVlu3DYLDhsFtJtFnLSbQztkY3D1jkFBtRVMwbohsTp0fEYEo8u2+TQAGY8/DnjivP451UTyMtIjvIiiUTX7DRmDOvGgvXhzXFGyvUvfBuT4wYytjiPt246IebnUXQuzh7d069sVJBpJzfdRllVA7VHObqHPgw+SjGhJJ/Xbzw+5nbGgladmhCiD/A8ppCoBJ6WUj4mhLgf+DFw0LvpvVLKD7z73ANci6nd9j9Syo+87TMxayBZgGeklHOi+3FC89WWcn78/HL/HbMmhDe/zET6/xfwHppv428/ar3An6PmaiG5MVJW7KpkS1kN40sKonZMhcnL3+yKmUPrKBxWCx+uLWVc3zy6ZXdeFQhFdPnThaP504Wj2VhazemPfk5FrSvktnkZNqyahkUzA6E0Ibj7jKEdaG10CedJzQPcLqVcIYTIBr4VQnzsXfeIlPJ/AzcWQgwHLsFUBugJLBBCDPaufhI4FVPTbZkQ4h0pZVMlzRjx7Bfbm92lJBp/u/xY+hZm+IcBHDaNzDQrNhV4EBO+3NK2J+hE4utth/yVBnbMmRVnaxSJRjgFZCvr3Lx50/FJU+6qVafm1VPb712uFkKsxyzxEIpzgFeklE5guxBiC2bRP4AtUsptAF7NtnOADnFq/7hiPLUuD4ZXAcRjNBZ41IMs+yPbvEnXMmDZdwzdkNTU1mJIcKSnY0g4UNXAnf9Z3bpBQbjx343DVVMHdeGFa1XCdSx55kpTuKL0SAOvLd9NvVvHkJKl2yr81ciDkWbVsFu0Jukd5quZyuFL9xABKR6aAIHAkAYCsGiauZ3w7dc0FcTildeyeO+gLZqGRYBV09A0vHfWwv93/bTolVNSJA9ds9P8NztSSmqcHirr3FTUujhc5+Kq55YBcP5fvwLgi7um0zu/cydjRzSnJoQoAcYCS4ETMAVFr8Cse3S7lPIwpsNbErCbr84RNK9/1OJVOxb1j4T3r8n9S6sPQuKo10aq7ObOOb4yDT3SmHnv1CbbHKl38+TnO3nl2/D1VhdvLqfk7vdDrv/2rhPa/QSXSLWl4sWO8lpO+t9FrW6X7bD6KyUEC+NoLbZDePdye9wA2Ky2oPuYQ9gyYLmx3bvUOPSNeaFyeSSPL9xMtsPKA+eNUvOviqAIIch22Mh22PwqIl/dfTLHz2lMM/pySzkXT+jcubFhOzUhRBbwBvBTKWWVEOIp4PeY/7Z+D/wFuKa9BsW6/pGUkvUHarF5BWjNHKPGJzTdq+uI98nMp9/o03L0PaXhXa6trWVbRQNPfrkq6rYqYk/v/PAUFaobPHwchwoNkXJs3wKundIv3mYoOgk989K5c+YQf8DIXW+sYXxJQadORQnLqQkhbJgO7UUp5ZsAUsoDAev/AbznfdtSnaO41z+a8McFHKx2RvWY7WXW6CL6FWbiMSR/+8zUhfzfHx5DSWEG6XZzfi3DbjXn2ewaadbohtqmsmST1aKxY84s/vbZVubM3xDTc107pR8etwurJkh3ONB8dfkEaJo5/GgR5nCi5m23aALN+96s4SewaGagk1XTSLM2DkOm2y2Mb6XoqUJxNN8F5K8BzP1yB/f/YESnzZENJ/pRAM8C66WUDwe0FwXULzoPWOtdfgd4SQjxMGagyCDgG8xRm0FCiH6YzuwS4NJofZBwuWFaf/7w/vqOPm2LvL+6+bDkHa83PvmNK87jTRW2HVNuPHEAN544ADCDin7/XvSnep/9YnvUjxmMkb1yeO/Wqa1vqFAAvzl7ONkOK2+uMJ8xXliyk1+dNQyLlrx5aicAPwLWCCFWetvuBWYLIcZgDj/uAG4AkFKuE0K8hhkA4sGsi6QDCCFuAT7CDOn/p5Syw1WEr5van9NH9GBvZX3j/EWAEn+T0jHe9T7dRt2rwq9LU4VfN6Cmto5nvtrNnsrY1Vob1K1t1ZkVbePaKf04eWg3Kmpd2CyiieanORTdWMXB11ca3AbVDR5qnaYienmNi//7dIv/mMUFGVg0QYPLg1s3cBvg9Og4PUbUyxNlpan0U0X49M7P4OGLxnD3GUPZfrCWilpX1EeDOpJwoh+/IPjc+Act7PNH4I9B2j9oab+Ook9BRtTKLVRVVXH/B5ujcqxgbHvgTLROOgzQ2TAMyX3z1vLi0l1RP/auijqy0qxoAqyawGHTyEk30zXsFg27VcNmMQuMrthV6c91zM+wcdNJA7FZBDbvNsf2ze/Ucx6KxKRbtiMpch3VLV0UWH3vVLKzs/0KIh7D8L6ay19tOcTtr0ceSGKzCCY+sJDjBxTy0IWjO61sTWdge3kt08OIggyHyyYVM2N4d9IsGlaLRpcsO/29TkiVnlEoYotyalFCCGHeTVvAHF1t5IJje3PBsb2RUjL3qx389t3w5mvcuqS8xsk7q/bx81MHU6LKncSM6gZ3VI7zq1nDuGxSX6wWgVUTSsdRoehglFNrAy3lj0WTX581nFmji8h2WMmwq58qlozunddEkUNKyQ0vfMt/Iwzj/8P76yMKRPr7j47l9BE9IjqHQqEIjbpStoEch5WqhtYLSraXy44r7tQTtp2NA1UNzH56CdvKazvsnF2yVKK0QhFNlFNrA6vvP92/XFVVhZSSrOwcfwL3R+tKue2Vle0+z7zv9nHRhOgnoCuCM+mBhRFtP75vPul2SxOtTofNYuaNeXPKfKVlfPloLpfLzClzpCGE4Jvth/l252FvhGVjbpp/WYgmldctAcc8Uu9m3b4jHD+gC2cf0zNG34pC0blQTi0CfvTsUhZvLu+w8935xmrufGM1r90wmYn9lEp/rPnN2cNbne/s3yUTXZoBQXsr670qNOZwZWAl7EDt0MDlaIfvA7z8zW5uffk7JWisUKCcWkScNbqoQ52aj4XrDyin1gFcfUI/rj4hehJTuiF55ONNfL75oF8hxKPrGBI0TQvpEF26gctj+F/duoFbb9kbqmFMhcJEObUIuHhCcTOxT9/w43sbKtl2sBaPbniTs80LlK9QX3v4ZkdFu4+h6HgOVjubJGDHkvIaV7MAps1/PEOVLVKkHMqpRQEhBJdN6ht0XY9cB48t3OyfB9GNyMefvttViUc3sKoLVEKxo7yWD9eVYtV8pWe8rwHb3HBifw5WOfF4f3ePV6XfbrP5S9QAHKp18dmmg0SLAV0zzYK4CkWKoZxajPnZqYP52amD/e83lFYx89HFER/nor9/zas3TFZ33gnEqY981uqwYEei5tQUCuXUOpQHPljP059va9O+K3ZVsvlADcN7KiWKRGH+bVN5bfkeDCOgRFFALTQfvrJFAE6nCwnYbDZ/27zv9rarKvvrN05mQomac1UoQDm1mPPQhxv466KtUTnWpgPVyqklEAO7ZXPvmcMi2udomaxPNhzgpTZoTa797elKuFihCIL6VxFjouXQAH766krOHFWE3aqGIOPJ4VoXpz36eVzq8tmtGi9dN0k5NIUiBOpfxlHUOj18s6OCHIfNXwlbN0xxYsP76is74zEMamrr+OW7mzrEtueumqAcWgJwuM7VoQ5txX2nUpCpQvYVinBQTs1LWVUDEyNUlOgIhvbIxpCS4oJMlu+sYNmOiqbzN83qv9GkDhzedYB/DkdKuG3GINRlMjwqal386NmlrNtXFZfz1zo9yqkpFGGinJqXNkTadwgbSqsB2HSghgXrIxPXbYkXluyM2rEC+dFxffn9uSNjcux44fToMXNopwztRmaaFYsmkFJypN7NpxsPUphpp3uOAwn8+PnlTfYJvGlpvFHxBqMc1fbYJWM5pk9eTGxXKBIR5dS89Mh18OSl47j5pRXxNqVT88KSnUnn1Ipy05uEy/tUP5xug6oGN6f85TNcutHiMUb3zmX1niPN2hduKAu6/aFaF4dqXe0zHHjiky08c+X4dh9HoegsKKcWQK0z9sr7yU6Ow8rXWw8xeUBhvE2JGZomcGimkHFuho1NfzwjrP1e/mYX97y5Jui63vnpOGwWSo80UOPthxeP70NBlp00q0aa1cKArpl0yU7D4hU29v35UqzNXGuBL+daAMVRqvCuUHQWlFML4KIJfSJWxQ8M0f5qSzmXPrM0FqZ1GqoaPMyZv555t0yJtykJx+yJxcwamsfoB5on3+85XN+s7WiJtVG9cnn3VvW9KhQtoZxaFDl+YJeoqjrc+vJ3vLtqn//93y4/lqw0K0J4pZgECO+ducB8ghA0vWM33ze2i4A7+bq6WgSQlZXll/E6ev/mqvK+hsbjeE0xX4WgV1561L6DZGTZnSdgd/jU/g08hqn67zHMZbduoBsSt+6NvNUNnvhkC/uPNHd8CoWiKcqpJTBXTO7rd2p5GTZmjoxuheSqKtMV+RKBFR1DmlUjJ8MW0T6vLt+tnJpCEQbKqSUwE0oKlJ6fQqFQRIDK5FUoFApF0qCcmkKhUCiSBuXUFAqFQpE0KKemUCgUiqRBOTWFQqFQJA3KqSkUCoUiaVBOTaFQKBRJg8pTUyhizI7yWmqcHqSE6poaDCnJqNSRUmJIU7XFkBLDVz4o8D2m2v7+Iw3x/hgKRadAOTWFIoas2l3JOU9+GZVjje6dG5XjKBTJjJDNxf0SBiHEQSA2hb+iSxegPN5GtJGOsr2vlLJrLA4cpJ8k+u+RyPbF27aO7CeJQLy/744mWp83ZD9JaKfWWRBCLJdSdsqiVZ3Z9lAk+mdKZPsS2bZkJNW+7474vCpQRKFQKBRJg3JqCoVCoUgalFOLDk/H24B20JltD0Wif6ZEti+RbUtGUu37jvnnVXNqCoVCoUga1JOaQqFQKJIG5dQUCoVCkTSo5GtFp0cIMRQ4B+jlbdoLvCOlXB8/qxQKRTxQc2opiBCiOwEOQEp5IJ72tAchxF3AbOAVYI+3uTdwCfCKlHJOvGzrLCRTf1AkHh3dv5RTayOd8UIghBgD/A3IxXyaAdMBVAI3SSlXxMeytiOE2ASMkFK6j2q3A+uklIPiY1lTErG/JGN/6AwkYl+IBfHqX2r4MUJC/VBCiEoS/0IwF7hBSrk0sFEIcRzwHHBMPIxqJwbQk+byR0XedXElwfvLXJKvPyQsCd4XYsFc4tC/lFOLnLl03gtB5tF2A0gplwghMuNhUBT4KbBQCLEZ2O1tKwYGArfEy6gA5pK4/SUZ+0MiM5fE7QuxIC79Szm1yOnMF4L5Qoj3gedpdAB9gCuAD+NmVTuQUn4ohBgMTKRpoMgyKaUeP8v8JHJ/Sbr+kOAkcl+IBXHpX2pOLUKEEI8DAwj+Q22XUibC00FIhBBnEDxS8IP4WZW8JHp/Uf2h40j0vhAL4tG/lFNrA+pCoIgE1V8UPlRfiD3KqaUQQohc4B7Mf1TdAQmUAfOAOVLKyvhZp+hoVH9QxJJ49S+lKBIhQohcIcQcIcR6IUSFEOKQd3mOECIv3va1wmvAYWC6lLJASlkITMcMsX0tnoYlKwneX1R/6EASvC/Egrj0L/WkFiFCiI+AT4B/SSlLvW09gKuAk6WUp8XRvBYRQmyUUg6JdJ2i7SRyf1H9oWNJ5L4QC+LVv5RTi5DOfCEQQvwXWID5j+qAt6075j+qU6WUM+JoXlKSyP1F9YeOJZH7QiyIV/9Sw4+Rs1MIcaf3xwHMH8or17S7hf0SgYuBQuAzIcRhIUQFsAgoAC6Kp2FJTCL3F9UfOpZE7guxIC79Sz2pRYgQIh+4G3Pys5u3+QDwDubk5+F42RYOXvHf3sASKWVNQPtMKaXKTYoyid5fVH/oOBK9L8SCePQv5dSiiBDiainlc/G2IxRCiP8BbgbWA2OA26SU87zrVkgpx8XRvJQj3v1F9YfEId59IRbEq38ppxZFhBC7pJTF8bYjFEKINcBkKWWNEKIE+A/wgpTyMSHEd1LKsfG1MLWId39R/SFxiHdfiAXx6l9KJitChBCrQ63CzMVIZDTfEICUcocQ4iTgP0KIvpj2K6JMgvcX1R86kATvC7EgLv1LObXI6Q6cjpl/EYgAvup4cyLigBBijJRyJYD3Duos4J/AqLhalrwkcn9R/aFjSeS+EAvi0r+UU4uc94As3w8ViBBiUYdbExlXAJ7ABimlB7hCCPH3+JiU9CRyf1H9oWNJ5L4QC+LSv9ScmkKhUCiSBpWnplAoFIqkQTk1hUKhUCQNyqnFASGEVQhxUAgx56j2RUKIjUKIVUKIL4UQQwLax8fHWkW8UP1EEQ6qnzRFObX4cCqwCfihEOLo0NbLpJTHAP8C/tzhlikSCdVPFOGg+kkAyqnFECHEfd47pS+EEC8LIe7wrpoNPAbsAiaH2P1zYGBH2KmIL6qfKMJB9ZPwUCH9MUIIMQG4ADgGsAErgG+FEA5gBnADkIfZIYPlqJwNrOkQYxVxQ/UTRTiofhI+6kktdpwAzJNSNkgpq4F3ve1nAZ9KKeuBN4BzhRCWgP1eFEKs9O5/B4pkR/UTRTiofhIm6kmt45kNTBFC7PC+LwROBj72vr9MSrk8HoYpEgrVTxThoPrJUagntdjxJXC2EMIhhMjCvKPKAKYCxVLKEillCaaK9ez4mamIM6qfKMJB9ZMwUU9qMUJKuUwI8Q6wGrNm0hpMjbdPpJTOgE3nAQ8JIdLiYKYizqh+oggH1U/CR8lkxRAhRJZXxDMDM/roeinlinjbpUgsVD9RhIPqJ+GhntRiy9NCiOGAA/iX6oCKEKh+oggH1U/CQD2pKRQKhSJpUIEiCoVCoUgalFNTKBQKRdKgnJpCoVAokgbl1BQKhUKRNCinplAoFIqkQTk1hUKhUCQN/w8zaOrF0/LDTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x1008 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(7, 14), ncols=len(p))\n",
    "\n",
    "for i, (ax, w) in enumerate(zip(axs, p)):\n",
    "    gr = w.get_curve('Gamma', alias=alias)\n",
    "    if gr is not None:\n",
    "        ax = gr.plot(ax=ax)\n",
    "    ax.set_title(\"Gamma for\\n{}\".format(w.uwi))\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export data to pandas DataFrame\n",
    "\n",
    "This makes a DataFrame using a dual index of UWI and Depth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Caliper</th>\n",
       "      <th>Gamma</th>\n",
       "      <th>DT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UWI</th>\n",
       "      <th>DEPT</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">100/N14A/11E05</th>\n",
       "      <th>20.1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.2000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.3000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.4000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.5000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">-999.25</th>\n",
       "      <th>951.2808</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951.4332</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951.5856</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951.7380</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951.8904</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43702 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Caliper  Gamma  DT\n",
       "UWI            DEPT                        \n",
       "100/N14A/11E05 20.1000       NaN    NaN NaN\n",
       "               20.2000       NaN    NaN NaN\n",
       "               20.3000       NaN    NaN NaN\n",
       "               20.4000       NaN    NaN NaN\n",
       "               20.5000       NaN    NaN NaN\n",
       "...                          ...    ...  ..\n",
       "-999.25        951.2808      NaN    NaN NaN\n",
       "               951.4332      NaN    NaN NaN\n",
       "               951.5856      NaN    NaN NaN\n",
       "               951.7380      NaN    NaN NaN\n",
       "               951.8904      NaN    NaN NaN\n",
       "\n",
       "[43702 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = ['Caliper', 'Gamma', 'DT']\n",
    "\n",
    "df = p.df(keys=keys, alias=alias)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Caliper</th>\n",
       "      <th>Gamma</th>\n",
       "      <th>DT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>27743.0000000000</td>\n",
       "      <td>38335.0000000000</td>\n",
       "      <td>36379.0000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.5499053697</td>\n",
       "      <td>95.5289462810</td>\n",
       "      <td>71.3771381000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.4973315519</td>\n",
       "      <td>32.6976216554</td>\n",
       "      <td>11.2859918722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.0099213123</td>\n",
       "      <td>3.8940699100</td>\n",
       "      <td>40.5831336980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.4137792588</td>\n",
       "      <td>72.7839241030</td>\n",
       "      <td>64.7815818785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.7372837067</td>\n",
       "      <td>101.9860000600</td>\n",
       "      <td>68.9576492310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.0309648514</td>\n",
       "      <td>119.8470001200</td>\n",
       "      <td>75.4713745115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15.5796451570</td>\n",
       "      <td>267.9404296900</td>\n",
       "      <td>134.0126342800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Caliper             Gamma                DT\n",
       "count  27743.0000000000  38335.0000000000  36379.0000000000\n",
       "mean       8.5499053697     95.5289462810     71.3771381000\n",
       "std        1.4973315519     32.6976216554     11.2859918722\n",
       "min        3.0099213123      3.8940699100     40.5831336980\n",
       "25%        8.4137792588     72.7839241030     64.7815818785\n",
       "50%        8.7372837067    101.9860000600     68.9576492310\n",
       "75%        9.0309648514    119.8470001200     75.4713745115\n",
       "max       15.5796451570    267.9404296900    134.0126342800"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='DEPT'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc['100/N14A/11E05'].DT.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Float64Index([28.1, 28.2, 28.3, 28.4, 28.5, 28.6, 28.7, 28.8, 28.9, 29.0, 29.1,\n",
       "              29.2, 29.3, 29.4, 29.5, 29.6, 29.7, 29.8, 29.9],\n",
       "             dtype='float64', name='DEPT')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df.loc['100/N14A/11E05'].index\n",
    "idx = df.loc['100/N14A/11E05'].loc[(28<x) & (x<30)].index\n",
    "idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quality\n",
    "\n",
    "We can make some tests of curve quality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import welly.quality as q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tests = {\n",
    "#    'Each': [q.no_gaps],\n",
    "    'Gamma': [q.no_monotonic, q.no_flat, q.all_positive],\n",
    "    'DT': [q.all_positive, q.all_between(50, 200)],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Idx</th><th>UWI</th><th>Data</th><th>Passing</th><th>CALI</th><th>Gamma*</th><th>DT</th><th>SP</th></tr><tr><td></td><td></td><td></td><td>%</td><td>2/2&nbsp;wells</td><td>2/2&nbsp;wells</td><td>2/2&nbsp;wells</td><td>2/2&nbsp;wells</td></tr><td>0</td><td><span style=\"font-weight:bold;\">Long = 63* 45'24.460  W</span></td><td>4/24&nbsp;curves</td><td>50</td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">CALI<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">7.97 in</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">GR<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">78.99 gAPI</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">DT<div title=\"1/2\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#FFCC33;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">63.08 us/ft</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">SP<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">52.47 mV</span></td></tr><td>1</td><td><span style=\"font-weight:bold;\">100/N14A/11E05</span></td><td>4/18&nbsp;curves</td><td>100</td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">CALI<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">8.90 in</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">GR<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">103.74 gAPI</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">DT<div title=\"2/2\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#33EE33;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">74.90 us/ft</span></td><td style=\"background-color:#CCEECC; line-height:80%; padding:5px 4px 2px 4px;\">SP<div title=\"0/0\" style=\"font-size:80%; float:right; cursor: default; padding:4px 0px 4px 6px; color:#AACCAA;\">&#x2b24;</div><br /><span style=\"font-size:70%; color:#33AA33\">101.60 mV</span></td></tr></table>"
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